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Engineer I Salary in India - PayScale

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SoC Verification Engineer

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Software Dev Assoc Engineer

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Software Engineer 3

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Software Engineer 4

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Software Engineers C/C++

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Software Integration Engineer

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Software Product Engineer

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Software Programming Engineer

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Software Solutions Engineer

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Software Validation Engineer

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Solar Engineer

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Sound Engineer

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Sound Engineering Technician

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Staff Physical Design Engineer

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Standards Engineer

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Stationary Engineer

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Storage QA Engineer

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Storage Support Engineer

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Storage Test Engineer

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Streaming Engineer

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Stress Engineer

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Sub Lead Engineer

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Supervising Electrical Engineer

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Supervising Engineer

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Supervising Field Engineer

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Support Engineer II

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Support Escalation Engineer

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Sustainability Engineer

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SW Architecture Engineer

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SW Quality Engineer

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Switch Engineer

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Synthesis Engineer

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System Engineer I

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System Operations Engineer

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System Reliability Engineer

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System Support Engineer

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System Validation Engineer

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SystemC Modeling Engineer

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Systems Design Engineer

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Systems Development Engineer

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Technical Consulting Engineer

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Technical Engineer

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Technical Service Engineer

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Transmission Engineer

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Ui Development Engineer

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Wan Engineer

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Integration Support Engineer I, Amazon Payments Services
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The Role DESCRIPTION Job summary Amazon Payment Services is a regional expert in payment processing technology and solutions across major markets in the GCC, operating in the UAE, Saudi Arabia, Egypt, Lebanon, Jordan, Oman, Kuwait, and Qatar. We design and develop our services to make it as easy as possible to make online payments for businesses with our simple, secure, and innovative payment services. We seek a dynamic, ambitious, and customer-obsessed Integration Support Engineer who is passionate about providing technical solutions to our merchants. Integration Support engineers are part of the Integration team, which owns merchants onboarding and offers technical support for all our existing and new merchants in our roadmap. This teams overarching goal is consistently improving merchant experience and driving operational excellence according to Amazons Customer obsession philosophy. Their primary focus is to integrate a maximum number of merchants with our payment gateway in the least possible turnaround time while achieving the highest merchant satisfaction and quality results. Key job responsibilities He/she provides dedicated integration support for all types of merchants. Develops subject matter expertise in one or more payment services and handles escalations related to those services. He/she manages high severity incidents till resolution. He/she can deal with ambiguity associated with the technical requirements. (e.g., custom system integrations, token migrations, embedded customer experience). He/she understands platform architecture (at a high-level), API documentation, and troubleshooting techniques. He/she understand the risk/opportunities with various implementations and help our merchants make the right trade-offs (e.g., creation of downstream bottlenecks, managed vs. unmanaged services, etc.). He/she understand the problem, defines severity, and proposes a workaround solution during crisis times to recover transactions while still working on the end-to-end solution. He/she works very closely with Infosec and Tech team to mitigate risks and vulnerabilities. They actively execute mandates from our Infosec and tech teams to ensure we meet the payment security bar. He/she performs deep dive and conducts detailed application analysis to identify the root causes of the merchant issues and works with the internal stakeholders and external partners to resolve them. Investigates transaction-related technical issues and promptly escalates concerns to the senior integration engineers. Must be able to interact with external customers Participates in on-call duties, based on a rotational schedule, to manage incident/sev1-2 related support by coordinating with different stakeholders to unblock issues. Requirements BASIC QUALIFICATIONS B.E/B.Tech in Computer Science, Engineering, or equivalent experience. 2+ years overall development or technical support experience. Knowledge of XML/SOAP, web services, web application development, and industry-standard commerce systems. Knowledge of Java-based technologies Experience with popular e-commerce shopping carts (Magento, WooCommerce, OpenCart, etc.). Effective organizational skills to maintain a consistently high standard of operations in a busy environment Proven track record in working on enterprise-level large scale n-tier applications. Effective prioritization and time management confidence to drive and manage large conference calls PREFERRED QUALIFICATIONS Development skills in C/Java or open source-based technologies. Knowledge of the mobile development common languages (Android, Swift). Basic understanding of DevOps and Agile. About the company Amazon.ae, formerly Souq.com, is an English-Arabic language e-commerce platform, owned by Amazon, Inc. It is the largest e-commerce platform in the Arab world. On March 28, 2017, Amazon.com Inc. confirmed it would be acquiring Souq.com for $580 million. On May 1, 2019, Souq.com became known as Amazon.ae.
Integration Support Engineer I, Amazon Payments Services
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The Role DESCRIPTION Job summary Amazon Payment Services is a regional expert in payment processing technology and solutions across major markets in the GCC, operating in the UAE, Saudi Arabia, Egypt, Lebanon, Jordan, Oman, Kuwait, and Qatar. We design and develop our services to make it as easy as possible to make online payments for businesses with our simple, secure, and innovative payment services. We seek a dynamic, ambitious, and customer-obsessed Integration Support Engineer who is passionate about providing technical solutions to our merchants. Integration Support engineers are part of the Integration team, which owns merchants onboarding and offers technical support for all our existing and new merchants in our roadmap. This teams overarching goal is consistently improving merchant experience and driving operational excellence according to Amazons Customer obsession philosophy. Their primary focus is to integrate a maximum number of merchants with our payment gateway in the least possible turnaround time while achieving the highest merchant satisfaction and quality results. KEY RESPONSIBILITIES He/she provides dedicated integration support for all types of merchants. Develops subject matter expertise in one or more payment services and handles escalations related to those services. He/she manages high severity incidents till resolution. He/she can deal with ambiguity associated with the technical requirements. (e.g., custom system integrations, token migrations, embedded customer experience). He/she understands platform architecture (at a high-level), API documentation, and troubleshooting techniques. He/she understand the risk/opportunities with various implementations and help our merchants make the right trade-offs (e.g., creation of downstream bottlenecks, managed vs. unmanaged services, etc.). He/she understand the problem, defines severity, and proposes a workaround solution during crisis times to recover transactions while still working on the end-to-end solution. He/she works very closely with Infosec and Tech team to mitigate risks and vulnerabilities. They actively execute mandates from our Infosec and tech teams to ensure we meet the payment security bar. He/she performs deep dive and conducts detailed application analysis to identify the root causes of the merchant issues and works with the internal stakeholders and external partners to resolve them. Investigates transaction-related technical issues and promptly escalates concerns to the senior integration engineers. Must be able to interact with external customers Participates in on-call duties, based on a rotational schedule, to manage incident/sev1-2 related support by coordinating with different stakeholders to unblock issues. Requirements BASIC QUALIFICATIONS B.E/B.Tech in Computer Science, Engineering, or equivalent experience. 2+ years overall development or technical support experience. Knowledge of XML/SOAP, web services, web application development, and industry-standard commerce systems. Knowledge of Java-based technologies Experience with popular e-commerce shopping carts (Magento, WooCommerce, OpenCart, etc.). Effective organizational skills to maintain a consistently high standard of operations in a busy environment Proven track record in working on enterprise-level large scale n-tier applications. Effective prioritization and time management confidence to drive and manage large conference calls PREFERRED QUALIFICATIONS Development skills in C/Java or open source-based technologies. Knowledge of the mobile development common languages (Android, Swift). Basic understanding of DevOps and Agile. About the company Amazon.ae, formerly Souq.com, is an English-Arabic language e-commerce platform, owned by Amazon, Inc. It is the largest e-commerce platform in the Arab world. On March 28, 2017, Amazon.com Inc. confirmed it would be acquiring Souq.com for $580 million. On May 1, 2019, Souq.com became known as Amazon.ae.
Quality Assurance Engineer I
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The Role JOB SUMMARY We serve the needs of online shoppers in all Arabic speaking and surrounding countries through our trusted, secure payment network that gives everyone the opportunity to shop online safely and easily. We build trust between buyers and online sellers by enabling consumers to transact online using the payment options they prefer with complete security and peace of mind while supporting the most popular payment methods available globally. ONAmazon team is responsible for Payment Experience in Middle East is launching deferred payment method - BNPL in Middle East . The QAE1 will ensure the quality of BNPL deliverable . BASIC QUALIFICATIONS - 1+ year of experience working as a Quality Assurance Engineer - Experience in manual testing - Experience in automation testing - Bachelors Degree - 1+ year of experience working as a Quality Assurance Engineer - Experience in manual testing - Experience in automation testing - Bachelors Degree - Communication skills ability to communicate cross-functionally and - Experience in automation testing - Strong knowledge of QA methodology and tools. - Demonstrated passions around software quality, and technology. - Demonstrated ability to learn and develop technical skills. Requirements PREFERRED QUALIFICATIONS - Experience working closely with development and business teams to communicate impact and understand business requirements. - Excellent verbal and written communication skills - Be able to write quality code in Java or C#, and Python. - Experience in app/device testing. - Strong computer science fundamentals, data structures, algorithm design and problem solving skills - Knowledge of professional software engineering practices best practices for full software development life cycle, including coding standards, code reviews, source control management, continuous deployments, testing and operations - Strong understanding of system and application performance characteristics - Demonstrated ability to mentor junior software engineers in all aspects of their engineering skill-sets. About the company Amazon.ae, formerly Souq.com, is an English-Arabic language e-commerce platform, owned by Amazon, Inc. It is the largest e-commerce platform in the Arab world. On March 28, 2017, Amazon.com Inc. confirmed it would be acquiring Souq.com for $580 million. On May 1, 2019, Souq.com became known as Amazon.ae.
Business Intelligence Engineer I, FinOps FP&A
Amazon, Bengaluru, KA, IN
DESCRIPTIONAbout the Organization: Amazon is a US-based multinational electronic commerce company headquartered in Seattle, Washington. Amazon.com started as an online bookstore, but soon diversified into many other categories, with a vision to be earth's most customer-centric company & to build a place where people can come to find and discover anything they might want to buy online. About the role: Amazon's Finance Operations, Accounting & Analysis (FOAA) team is a fast-paced, team-focused, dynamic environment and delivering great experiences for our customers is top priority. FOAA is seeking a Business Intelligence Engineer to support our Amazon Music team.As an Amazon Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should have deep experience in the design, creation, management, and business use of large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. You should be good at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions. The person will need to effectively communicate across all levels and be self-motivated to raise the bar on deriving insights from analytics and identify opportunities to delight the customers. Above all you should be passionate about bringing large datasets together to answer business questions and drive change. This person will own the production and delivery of suite of analytics reports and dashboards used by the organization to make key business decisions. This will involve: 1) Delivery of standardized performance metrics for global customers (Vendors) and stakeholders (Amazon Music) providing operational bandwidth to Amazon music teams to focus on business partnering initiatives. 2) Partner with existing BI leader in executing defined roadmap of projects. 3) Provide ad-hoc support to Amazon music finance and business services for SQL report creation, modification and optimization. 4) Debug report issues, unblock workflows and communicate with other teams and stakeholders by providing regular status updates.Tools used include: 1. SQL (Oracle and Redshift) 2. ETL tools (internal) 3. Excel 4. Tableau 5. Report scheduling tools (internal) We are open to hiring candidates to work out of one of the following locations:Bangalore, KA, IND | Bengaluru, KA, INDBASIC QUALIFICATIONS- 4+ years of experience as an analyst or engineer in the data/BI space- Experience with data visualization using Tableau, Quick sight, or similar tools- Experience with SQL- Retrieve and analyze data using SQL, Excel, and other data management systemsPREFERRED QUALIFICATIONS- Bachelor’s degree in Computer Science, Computer Information Systems, or related fields- 4 to 5 years of relevant work experience of SQL with 2 to 3 years of experience writing SQL queries- Experience in Microsoft Excel- Ability to work in a fast-paced and rapidly-changing environment with experience managing multiple priorities and projects- Excellent written, verbal, listening and communication skills- Experience with reporting tools like Tableau or other BI packages- Team player - FP&A experience to develop forecasting models, and report variance against goals will be an added advantage
Business Intel Engineer I, LMAQ
Amazon, Hyderabad, TS, IN
DESCRIPTIONThe last mile of operations in Amazon is enabled through proprietary tech and products. As the Last Mile BI team, we partner with product, tech and program teams worldwide to drive greater cost efficiencies tomorrow, in a fast changing landscape. We work with driver support analytics, geospatial models (addresses, geocodes, maps), operator tools, routing/sort tech, and topology of delivery nodes. We are looking for a seasoned Business Intelligence Engineer who meets our bar on Customer Obsession, Ownership, Bias for Action and Dive Deep. As a Business Intelligence Engineer of Amazon last mile team, you will be responsible for shaping the strategy and direction of customer-facing products that are core to the customer experience. As a key member of the last mile leadership team, you will continually raise the bar on both quality and performance. You will bring innovation, a strategic perspective, a passionate voice, and an ability to prioritize and execute on a fast-moving set of priorities, competitive pressures, and operational initiatives. You will partner closely with product and technology teams to define and build innovative and delightful experiences for customers. You must be highly analytical, able to work extremely effectively in a matrix organization, and have the ability to break complex problems down into steps that drive product development at Amazon speed. You will set the tempo for defect reduction through continuous improvement and drive accountability across multiple business units in order to deliver large scale high visibility/ high impact projects. You will lead by example to be just as passionate about operational performance and predictability as you will be about all other aspects of customer experience. The successful candidate will be able to: · Effectively manage customer expectations and resolve conflicts that balance client and company needs. · Develop process to effectively maintain and disseminate project information to stakeholders. · Be successful in a delivery focused environment and determining the right processes to make the team successful. · This opportunity requires excellent technical, problem solving, and communication skills. The candidate is not just a policy maker/spokesperson but drives to get things done. · Possess superior analytical abilities and judgment. Use quantitative and qualitative data to prioritize and influence, show creativity, experimentation and innovation, and drive projects with urgency in this fast-paced environment. · Partner with key stakeholders to develop the vision and strategy for customer experience on our platforms. Influence product roadmaps based on this strategy along with your teams. · Support the scalable growth of the company by developing and enabling the success of the Operations leadership team. · Serve as a role model for Amazon Leadership Principles inside and outside the organization · Actively seek to implement and distribute best practices across the operationWe are open to hiring candidates to work out of one of the following locations:Hyderabad, TS, INDBASIC QUALIFICATIONS- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)- Experience with scripting language (e.g., Python, Java, or R)PREFERRED QUALIFICATIONS- Knowledge of data modeling and data pipeline design- Experience with statistical analysis, co-relation analysis
Quality Assurance Engineer - I, Device-OS
Amazon, Chennai, TN, IN
DESCRIPTIONAmazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV, Amazon Echo and Amazon Show. The Amazon Devices group delivers delightfully unique Amazon experiences, giving customers instant access to everything, digital or physical.As a Software Quality Assurance Engineer - you will make a large impact on dynamic, fast moving Amazon businesses, by improving efficiency and approach to testing. Working backwards from customer needs, you will identify the right sets of tools to build to achieve the best quality and customer experience. You will work in testing ips, peripherals, system use cases, stress cases.· Create test plans and test cases· Efficiently execute test cases across all functional areas of our products· Review product user interface for conformity to design guidelines· Find, isolate, document, regress, and track bugs through resolution· Interpret and report testing results, and be a vocal proponent for quality in every phase of the development process· Work with Software Development Engineers to understand the overall technical architecture and how each feature is implementedKey job responsibilitiesAs a Quality Assurance Engineer you will owning - the End to End customer experience, critical components, services, tools, and application development frameworks - working on projects that push the boundaries of customer-device interaction. You will also be responsible for analysing, developing and maintaining a reliable automation framework for the team.You will engage with an experienced cross-disciplinary staff to conceive and design innovative consumer product experiences. You must be responsive, flexible and able to succeed within an open collaborative peer environment. You will participate in designing, prototyping, and building solutions to hard problems in the Amazon Devices.We are open to hiring candidates to work out of one of the following locations:Chennai, TN, INDBASIC QUALIFICATIONS- 1+ years of quality assurance engineering experience- Experience in manual testing- Experience in automation testing- Experience in Java/Perl/Python based automationPREFERRED QUALIFICATIONS- Experience in API & Mobile testing- Experience designing and planning test conditions, test scripts, and test data sets to ensure appropriate and adequate coverage and control
Engineer I
Marriott International, Goa, Any
Job Number 24057103Job Category Engineering & FacilitiesLocation Fairfield by Marriott Goa Anjuna, Survey No 11/14 Plot B C&E, Anjuna, Goa, Goa, India VIEW ON MAP Schedule Full-TimeLocated Remotely? NRelocation? NPosition Type Non-ManagementPOSITION SUMMARYRespond and attend to guest repair requests. Communicate with guests/customers to resolve maintenance issues. Perform preventive maintenance on tools and kitchen and mechanical room equipment, including cleaning and lubrication. Visually inspect tools, equipment, or machines. Carry equipment (e.g., tools, radio). Identify, locate, and operate all shut-off valves for equipment and all utility shut-offs for buildings. Maintain maintenance inventory and requisition parts and supplies as needed. Communicate each day's activities and problems that occur to the other shifts using approved communication programs and standards. Display basic knowledge or ability to acquire knowledge in the following categories: air conditioning and refrigeration, electrical, mechanical, plumbing, pneumatic/electronic systems and controls, carpentry and finish skills, kitchen equipment, vehicles, energy conservation, and/or general building. Perform all surface preparation, painting, minor drywall and wood trim repair, light bulb and A/C filter replacement and the complete and thorough cleanup of the painting or repair area. Test, troubleshoot and perform basic repair on all types of equipment, plumbing (e.g., plunge toilets and unclog drains), electrical components including lamps, cosmetic items, extension cords, vacuum cleaners, internet devices, replace electrical switches and outlets, and other guestroom items. Program TV's and perform general housekeeping and engineering-related inventory duties. Use the Lockout/Tagout system before performing any maintenance work. Perform repairs on interior and exterior landscaping as well as external landscaping sprinklers. Display basic computer skills including inputting air handler schedules and making temperature changes.Follow all company and safety and security policies and procedures; report any maintenance problems, safety hazards, accidents, or injuries; complete safety training and certifications; and properly store flammable materials. Ensure uniform and personal appearance are clean and professional, maintain confidentiality of proprietary information, and protect company assets. Welcome and acknowledge all guests according to company standards, anticipate and address guests' service needs, assist individuals with disabilities, and thank guests with genuine appreciation. Adhere to quality expectations and standards. Develop and maintain positive working relationships with others, support team to reach common goals, and listen and respond appropriately to the concerns of other employees. Speak with others using clear and professional language. Move, lift, carry, push, pull, and place objects weighing less than or equal to 50 pounds without assistance and heavier lifting or movement tasks with assistance. Move up and down stairs, service ramps, and/or ladders. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Enter and locate work-related information using computers. Perform other reasonable job duties as requested.PREFERRED QUALIFICATIONS Education: High school diploma or G.E.D equivalent. Related Work Experience: Some experience in general maintenance, exterior and interior surface preparation and painting. Experience in hotel engineering or maintenance a plus. Supervisory Experience: No supervisory experience.REQUIRED QUALIFICATIONS License or Certification: Valid Driver's LicenseMarriott International is an equal opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law.Fairfield by Marriott guarantees a beautifully simple stay wherever you travel, with over 1,000 locations worldwide. Our Marriott family farm heritage inspires a calming, reliable experience characterized by warm hospitality, all at a great value. As a member of our team, you'll deliver on the Fairfield Guarantee - our commitment that every guest leaves the hotel satisfied. At Fairfield, we invite you to explore career opportunities that hold our hotels and the service we provide to the highest standard. In joining Fairfield by Marriott, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you.Salary: . Date posted: 04/03/2024 03:47 AM
Data Engineer I
Amazon, Chennai, Tennessee
BASIC QUALIFICATIONS- 2+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience with one or more scripting language (e.g., Python, KornShell)- Experience in Unix- Experience in Troubleshooting the issues related to Data and Infrastructure issues.DESCRIPTIONAmazon Music is awash in data! To help make sense of it all, the DISCO (Data, Insights, Science & Optimization) team: (i) enables the Consumer Product Tech org make data driven decisions that improve the customer retention, engagement and experience on Amazon Music. We build and maintain automated self-service data solutions, data science models and deep dive difficult questions that provide actionable insights. We also enable measurement, personalization and experimentation by operating key data programs ranging from attribution pipelines, northstar weblabs metrics to causal frameworks. (ii) delivering exceptional Analytics & Science infrastructure for DISCO teams, fostering a data-driven approach to insights and decision making. As platform builders, we are committed to constructing flexible, reliable, and scalable solutions to empower our customers. (iii) accelerates and facilitates content analytics and provides independence to generate valuable insights in a fast, agile, and accurate way. This domain provides analytical support for the below topics within Amazon Music: Programming / Label Relations / PR / Stations / Livesports / Originals / Case & CAM. DISCO team enables repeatable, easy, in depth analysis of music customer behaviors. We reduce the cost in time and effort of analysis, data set building, model building, and user segmentation. Our goal is to empower all teams at Amazon Music to make data driven decisions and effectively measure their results by providing high quality, high availability data, and democratized data access through self-service tools.If you love the challenges that come with big data then this role is for you. We collect billions of events a day, manage petabyte scale data on Redshift and S3, and develop data pipelines using Spark/Scala EMR, SQL based ETL, Airflow and Java services.We are looking for talented, enthusiastic, and detail-oriented Data Engineer, who knows how to take on big data challenges in an agile way. Duties include big data design and analysis, data modeling, and development, deployment, and operations of big data pipelines. You'll help build Amazon Music's most important data pipelines and data sets, and expand self-service data knowledge and capabilities through an Amazon Music data university.DISCO team develops data specifically for a set of key business domains like personalization and marketing and provides and protects a robust self-service core data experience for all internal customers. We deal in AWS technologies like Redshift, S3, EMR, EC2, DynamoDB, Kinesis Firehose, and Lambda. Your team will manage the data exchange store (Data Lake) and EMR/Spark processing layer using Airflow as orchestrator. You'll build our data university and partner with Product, Marketing, BI, and ML teams to build new behavioural events, pipelines, datasets, models, and reporting to support their initiatives. You'll also continue to develop big data pipelines.Key job responsibilities• Deep understanding of data, analytical techniques, and how to connect insights to the business, and you have practical experience in insisting on highest standards on operations in ETL and big data pipelines. With our Amazon Music Unlimited and Prime Music services, and our top music provider spot on the Alexa platform, providing high quality, high availability data to our internal customers is critical to our customer experiences. • Assist the DISCO team with management of our existing environment that consists of Redshift and SQL based pipelines. The activities around these systems will be well defined via standard operation procedures (SOP) and typically involve approving data access requests, subscribing or adding new data to the environment• SQL data pipeline management (creating or updating existing pipelines)• Perform maintenance tasks on the Redshift cluster. • Assist the team with the management of our next-generation AWS infrastructure. Tasks includes infrastructure monitoring via CloudWatch alarms, infrastructure maintenance through code changes or enhancements, and troubleshooting/root cause analysis infrastructure issues that arise, and in some cases this resource may also be asked to submit code changes based on infrastructure issues that arise.About the teamAmazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators.From personalized music playlists to exclusive podcasts,concert livestreams to artist merch,we are innovating at some of the most exciting intersections of music and culture.We offer experiences that serve all listeners with our different tiers of service:Prime members get access to all music in shuffle mode,and top ad-free podcasts,included with their membership;customers can upgrade to Music Unlimited for unlimited on-demand access to 100 million songs including millions in HD,Ultra HD,spatial audio and anyone can listen for free by downloading Amazon Music app or via Alexa-enabled devices.Join us for opportunity to influence how Amazon Music engages fans, artists,and creators on a global scale.We are open to hiring candidates to work out of one of the following locations:Chennai, TN, INDPREFERRED QUALIFICATIONS- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.- Knowledge of distributed systems as it pertains to data storage and computing- Experience in building or administering reporting/analytics platformsSalary: . Date posted: 04/06/2024 09:26 AM
Business Intelligence Engineer I
Amazon, Chennai, Tennessee
BASIC QUALIFICATIONS- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with scripting language (e.g., Python, Java, or R)- Knowledge of data modeling and data pipeline design- Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- Knowledge of AWS products such as Redshift, Quicksight, and Lambda.- Excellent verbal/written communication & data presentation skills, including ability to succinctly summarize key findings and effectively communicate with both business and technical teams.DESCRIPTIONAmazon Music is awash in data! To help make sense of it all, the DISCO (Data, Insights, Science & Optimization) team: (i) enables the Consumer Product Tech org make data driven decisions that improve the customer retention, engagement and experience on Amazon Music. We build and maintain automated self-service data solutions, data science models and deep dive difficult questions that provide actionable insights. We also enable measurement, personalization and experimentation by operating key data programs ranging from attribution pipelines, northstar weblabs metrics to causal frameworks. (ii) delivering exceptional Analytics & Science infrastructure for DISCO teams, fostering a data-driven approach to insights and decision making. As platform builders, we are committed to constructing flexible, reliable, and scalable solutions to empower our customers. (iii) accelerates and facilitates content analytics and provides independence to generate valuable insights in a fast, agile, and accurate way. This domain provides analytical support for the below topics within Amazon Music: Programming / Label Relations / PR / Stations / Livesports / Originals / Case & CAM. DISCO team enables repeatable, easy, in depth analysis of music customer behaviors. We reduce the cost in time and effort of analysis, data set building, model building, and user segmentation. Our goal is to empower all teams at Amazon Music to make data driven decisions and effectively measure their results by providing high quality, high availability data, and democratized data access through self-service tools.If you love the challenges that come with big data then this role is for you. We collect billions of events a day, manage petabyte scale data on Redshift and S3, and develop data pipelines using Spark/Scala EMR, SQL based ETL, Airflow and Java services.We are looking for talented, enthusiastic, and detail-oriented Business Intelligence Engineer, who knows how to take on big data challenges in an agile way. Duties include big data design and analysis, data modeling, and development, deployment, and operations of big data pipelines. You'll help build Amazon Music's most important data pipelines and data sets, and expand self-service data knowledge and capabilities through an Amazon Music data university.DISCO team develops data specifically for a set of key business domains like personalization and marketing and provides and protects a robust self-service core data experience for all internal customers. We deal in AWS technologies like Redshift, S3, EMR, EC2, DynamoDB, Kinesis Firehose, and Lambda. Your team will manage the data exchange store (Data Lake) and EMR/Spark processing layer using Airflow as orchestrator. You'll build our data university and partner with Product, Marketing, BI, and ML teams to build new behavioural events, pipelines, datasets, models, and reporting to support their initiatives. You'll also continue to develop big data pipelines.Key job responsibilities• Design, development and ongoing operations of scalable, performant data warehouse (Redshift) tables, data pipelines, reports, dashboards and data transformation strategies to manage a large volume of data.• Development of moderately to highly complex data processing jobs using appropriate technologies (e.g. SQL, Python, Spark, AWS Lambda, etc.)• Development of dashboards and reports.• Collaborate with internal stakeholders to understand business requirements and provide data driven solutions.• Develop complex SQL queries and optimize performance of SQL queries on large data.• Build and manage dashboards, scorecards, and other data visualization using BI tools such as Tableau, Power BI, or AWS Quicksight.• Monitor Tableau and QS dashboards to ensure latest data is available, address any technical issues in dashboard refresh (fixing failed jobs, re-running jobs/pipelines, tracking upstream dependencies), coordinate to resolve technical issues, inform Stakeholders in case of any unavoidable delays, enhancing existing dashboards based on low-level specifications.• Conduct thorough data analysis and troubleshoot data integrity issues, providing gap analysis and business solutions.• Actively manage the timeline and deliverables of projects, anticipate risks and resolve issues.• Adopt Business Intelligence best practices in reporting and analysis.• Monitor WBR jobs, address any issues (fixing failed jobs, re-running jobs/scripts, tracking upstream dependencies) co-ordinate for any technical issues, and gathering inputs to update commentary for the metric fluctuations.• Repeating an existing analysis for new scenarios (geographies, tier, device types) based on existing analyses, pulling datasets using low-level specifications• Monitoring Datanet & Cradle based pipelines and data pipelines that feed metrics into APT (Weblab Analysis Tool) to address failures & delays, coordinate for resolution of technical issues, creating & monitoring alarms/checks on the pipelines for tracking delays & ensuring data quality, creating pipelines (or updating existing pipelines) based on low-level specifications and running & monitoring back-fill jobs to generate historical datasets based on already existing pipeline jobs, Coordinating with APT team to onboard (or update) APT metrics.About the teamAmazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators.From personalized music playlists to exclusive podcasts,concert livestreams to artist merch,we are innovating at some of the most exciting intersections of music and culture.We offer experiences that serve all listeners with our different tiers of service:Prime members get access to all music in shuffle mode,and top ad-free podcasts,included with their membership;customers can upgrade to Music Unlimited for unlimited on-demand access to 100 million songs including millions in HD,Ultra HD,spatial audio and anyone can listen for free by downloading Amazon Music app or via Alexa-enabled devices.Join us for opportunity to influence how Amazon Music engages fans, artists,and creators on a global scale.We are open to hiring candidates to work out of one of the following locations:Chennai, TN, INDPREFERRED QUALIFICATIONS- Experience in the data/BI space- Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries)- Experience with data-specific programming languages/packages such as R or Python Pandas.- Experience with AWS solutions such as EC2, DynamoDB, S3, and EMR.- Knowledge of machine learning techniques and concepts.Salary: . Date posted: 04/06/2024 09:19 PM
Data Engineer I
Amazon, Chennai, Tennessee
BASIC QUALIFICATIONS- 2+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience with one or more scripting language (e.g., Python, KornShell)- Experience in Unix- Experience in Troubleshooting the issues related to Data and Infrastructure issues.DESCRIPTIONAmazon Music is awash in data! To help make sense of it all, the DISCO (Data, Insights, Science & Optimization) team: (i) enables the Consumer Product Tech org make data driven decisions that improve the customer retention, engagement and experience on Amazon Music. We build and maintain automated self-service data solutions, data science models and deep dive difficult questions that provide actionable insights. We also enable measurement, personalization and experimentation by operating key data programs ranging from attribution pipelines, northstar weblabs metrics to causal frameworks. (ii) delivering exceptional Analytics & Science infrastructure for DISCO teams, fostering a data-driven approach to insights and decision making. As platform builders, we are committed to constructing flexible, reliable, and scalable solutions to empower our customers. (iii) accelerates and facilitates content analytics and provides independence to generate valuable insights in a fast, agile, and accurate way. This domain provides analytical support for the below topics within Amazon Music: Programming / Label Relations / PR / Stations / Livesports / Originals / Case & CAM. DISCO team enables repeatable, easy, in depth analysis of music customer behaviors. We reduce the cost in time and effort of analysis, data set building, model building, and user segmentation. Our goal is to empower all teams at Amazon Music to make data driven decisions and effectively measure their results by providing high quality, high availability data, and democratized data access through self-service tools.If you love the challenges that come with big data then this role is for you. We collect billions of events a day, manage petabyte scale data on Redshift and S3, and develop data pipelines using Spark/Scala EMR, SQL based ETL, Airflow and Java services.We are looking for talented, enthusiastic, and detail-oriented Data Engineer, who knows how to take on big data challenges in an agile way. Duties include big data design and analysis, data modeling, and development, deployment, and operations of big data pipelines. You'll help build Amazon Music's most important data pipelines and data sets, and expand self-service data knowledge and capabilities through an Amazon Music data university.DISCO team develops data specifically for a set of key business domains like personalization and marketing and provides and protects a robust self-service core data experience for all internal customers. We deal in AWS technologies like Redshift, S3, EMR, EC2, DynamoDB, Kinesis Firehose, and Lambda. Your team will manage the data exchange store (Data Lake) and EMR/Spark processing layer using Airflow as orchestrator. You'll build our data university and partner with Product, Marketing, BI, and ML teams to build new behavioural events, pipelines, datasets, models, and reporting to support their initiatives. You'll also continue to develop big data pipelines.Key job responsibilities• Deep understanding of data, analytical techniques, and how to connect insights to the business, and you have practical experience in insisting on highest standards on operations in ETL and big data pipelines. With our Amazon Music Unlimited and Prime Music services, and our top music provider spot on the Alexa platform, providing high quality, high availability data to our internal customers is critical to our customer experiences. • Assist the DISCO team with management of our existing environment that consists of Redshift and SQL based pipelines. The activities around these systems will be well defined via standard operation procedures (SOP) and typically involve approving data access requests, subscribing or adding new data to the environment• SQL data pipeline management (creating or updating existing pipelines)• Perform maintenance tasks on the Redshift cluster. • Assist the team with the management of our next-generation AWS infrastructure. Tasks includes infrastructure monitoring via CloudWatch alarms, infrastructure maintenance through code changes or enhancements, and troubleshooting/root cause analysis infrastructure issues that arise, and in some cases this resource may also be asked to submit code changes based on infrastructure issues that arise.About the teamAmazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators.From personalized music playlists to exclusive podcasts,concert livestreams to artist merch,we are innovating at some of the most exciting intersections of music and culture.We offer experiences that serve all listeners with our different tiers of service:Prime members get access to all music in shuffle mode,and top ad-free podcasts,included with their membership;customers can upgrade to Music Unlimited for unlimited on-demand access to 100 million songs including millions in HD,Ultra HD,spatial audio and anyone can listen for free by downloading Amazon Music app or via Alexa-enabled devices.Join us for opportunity to influence how Amazon Music engages fans, artists,and creators on a global scale.We are open to hiring candidates to work out of one of the following locations:Chennai, TN, INDPREFERRED QUALIFICATIONS- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.- Knowledge of distributed systems as it pertains to data storage and computing- Experience in building or administering reporting/analytics platformsSalary: . Date posted: 04/06/2024 09:19 PM