DESCRIPTIONAmazon’s Retail Business Services, Analytics team is looking for a Business Intelligence Engineer to help build the next generation of analytics solutions. This is an opportunity to get in on the ground floor as we transform from a reactive, request-directed team to a proactive, roadmap-driven organization that accelerates the business. Working closely with the business teams, analytics teams, you will simplify and scale our data and infrastructure, developing and owning canonical data sets for the business. Utilizing the latest AWS technologies, you will help to implement engineering best practices, set technical standards, and hold a high bar for operational excellence. This is a highly visible role, with regular access to principal engineers and other senior business and technology leaders. You will be a key influencer on the team, providing input on priorities, technical designs, and technology decisions with a focus on scalable, maintainable and efficient systems and processes. You will understand and anticipate stakeholder needs, thinking big when recommending solutions. You will be comfortable navigating an ambiguous environment, knowing how to confirm and reconfirm assumptions. You will advise leaders and stakeholders on project milestones and associated prioritization.Key job responsibilities• Design, development and ongoing operations of scalable, performant data warehouse (Redshift) tables, data pipelines, reports and dashboards. • 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. • Collaborating with stakeholders to understand business domains, requirements, and expectations. Additionally, working with owners of data source systems to understand capabilities and limitations. • Deliver minimally to moderately complex data analysis; collaborating as needed with Data Science as complexity increases. • Actively manage the timeline and deliverables of projects, anticipate risks and resolve issues.• Adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.We are open to hiring candidates to work out of one of the following locations:Bangalore, KA, IND | Chennai, TN, INDBASIC QUALIFICATIONS- 5+ years of relevant professional experience in business intelligence, analytics, statistics, data engineering, data science or related field.- Experience with Data modeling, SQL, ETL, Data Warehousing and Data Lakes.- Strong experience with engineering and operations best practices (version control, data quality/testing, monitoring, etc.)- Expert-level SQL.- Proficiency with one or more general purpose programming languages (e.g. Python, Java, Scala, etc.)- 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.PREFERRED QUALIFICATIONS- 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.

Support Engineer, KIX Variable - (72 Approved Plan)

Amazon, Chennai, Tennessee

BASIC QUALIFICATIONS- 2+ years of software development, or 2+ years of technical support experience- Experience troubleshooting and debugging technical systems- Experience in Unix- Experience scripting in modern program languagesDESCRIPTIONAmazon Books Team is looking for a talented support engineer who is customer focused and has strong expertise to build enterprise scale analytics datamarts. In this role, you will deliver world class data infrastructure for global books, print and digital.As a Support Engineer working on the analytics platform, you will be implementing and supporting the analytic technologies that give our customers timely, flexible and structured access to their data. You will be challenged with a variety of task like SQL Code, data pipeline design and implementation. You will interact with customers to gather requirements and structure solutions.Interface with business customers, gathering requirements and gaining a deep-dive understanding of services and key datasets.Tuning application and query performance against large, complex data structures. We are open to hiring candidates to work out of one of the following locations:Chennai, TN, INDPREFERRED QUALIFICATIONS- Knowledge of web services, distributed systems, and web application development- Experience troubleshooting & maintaining hardware & software RAID- Experience with REST web services, XML, JSONSalary: . Date posted: 04/04/2024 09:35 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

Sr. Business Intelligence Engineer, RBS ARTS

Amazon, Chennai, TN, IN

DESCRIPTIONAmazon's Retail Business Services team is looking for talented Business Intelligence Engineer (BIE) , who enjoys the challenge of diving into complex business problems, providing data driven insights, and making recommendations that directly impact business. As a BIE, you will use broad technical skills to build analytic and reporting capabilities. The ideal candidate is a highly analytical, critical thinker with advanced problem solving, data mining, analytics and data engineering skills. They will enjoy working with research scientists, program managers, product managers, and data engineers to drive decisions. Successful members of this team are customer obsessed, flexible, and collaborative team players who enjoying working across functions and organizations to solve problems and get results. They thrive in ambiguity, ask hard questions, and build scalable solutions that provide critical business insights necessary to influence decision making across organizations. They find timely answers buried in large data sets and complex systems, identify root causes, and are obsessed with generating business insights. This position requires superior analytical thinkers, able to quickly approach large ambiguous problems and apply technical and engineering expertise to rapidly prototype and deliver solutions. The individual will be tasked to: - Perform simultaneous large, complex, and business critical analyses that serve major parts of the business. - Develop scalable models and tools that speed up both decision making and accuracy for the team. - Be a key influencer in strategy and contribute significantly to team planning. - Show good judgement making technical trade-offs between the team’s short term and long term business needs. - Navigate discordant views, find the best way forward, and influence stakeholders around a solution.In this role, responsibilities will include: - Defining, developing, and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis - Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations - Collaborating with product and software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of models (heuristics, machine learning) - Mining and manipulating data from database tables, simulation of results and log files - Identifying data needs and driving data quality improvement projects - Understanding the broad range of Amazon’s data resources, which to use, how, and when - Thought leadership on data mining and analysis - Modeling complex/abstract problems and discovering insights using statistics, data mining, and visualization techniques - Helping to automate processes by developing deep-dive tools, UIs, metrics, and dashboards to communicate insights to the business teams - Collaborating effectively with internal end-users, cross-functional development teams, and technical support/sustaining engineering teams to solve problems and implement new solutionsWe are open to hiring candidates to work out of one of the following locations:Bangalore, KA, IND | Chennai, TN, INDBASIC QUALIFICATIONS- 10+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data miningPREFERRED QUALIFICATIONS- Experience working directly with business stakeholders to translate between data and business needs- Experience managing, analyzing and communicating results to senior leadership

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

Sr Service Delivery Engineer

Remote Jobs, Chennai, Any

Who we seek:BigID is growing quickly, and we are expanding our Services team and seeking a Senior Professional Services Engineer. The services team plays an important role in the successful setup, integration and deployment of BigID's discovery tools, for our customers and implementation partners. This position also works to identify the root cause of any deployment issues and works with the larger team to help resolve them to ensure the success of the customer.What you'll do:Work closely with client stakeholders to determine technical requirements for specific business objectives at handPlan implementation engagements, deploy solution components, and participate in the product configuration efforts in order to meet clients' specific requirementsEngage with multi-discipline internal and client teams to ensure smooth rollout of BigID solutions and successful integration within customers' environmentsDeliver training for respective technologies at an applicable level of depth and detail for a given audienceWork closely with our Engineering and Product Management teams to document product issues, enhancement requests raised in the field, and possible implementation flow improvementsWhat you'll bring:Experience in information technology, with at least 3-4 years in a customer-facing role - preferably involved in product implementation and hands-on technical activities within enterprise corporate environmentsUnderstand operational parameters and troubleshooting for a combination of the following: Compute, Storage, Networking, Databases, DevOps, Big Data and Analytics, Security, Applications DevelopmentAdvanced experience in problem identification, system architecture definition, hardware/software specification and/or design, implementation, testing, client training and solution deploymentA proactive approach in understanding internal and customers business challengesProfessional experience in Docker and Kubernetes deployments. Meaningful experience with some DBs, such as MongoDB, Microsoft SQL Server, Oracle Database, PostgreSQL, MySQL/MariaDB, IBM DB2Professional experience with cloud offerings such as AWS, Azure or Google Cloud PlatformExperience with Hadoop (HIVE/Spark)Experience with REST APIProgramming or scripting skills with Java or PythonWhat's in it for you?! Our people are the foundation of our success, and we prioritize offering a wide range of benefits that make our team happier and healthier.* Equity participation - everyone shares in our success* Flexible work arrangements * Medical, Dental, Vision, 401k - that go into effect your first dayOur Values:We look for people who embody our values - Care, Do, Try & Shine.* Care - We care about our customers and each other* Do - We do what it takes to make a positive impact* Try - We try our best and we don't give up* Shine - We shine and make it our mission to always stand out#LI-Remote#LI-AR1 #Salary and compensation No salary data published by company so we estimated salary based on similar jobs related to Docker, Java, Cloud, Senior and Engineer jobs that are similar: $60,000 - $110,000/year#Benefits 401(k)�� Distributed team⏰ Async�� Vision insurance�� Dental insurance�� Medical insurance�� Unlimited vacation�� Paid time off�� 4 day workweek 401k matching�� Company retreats�� Coworking budget�� Learning budget Free gym membership�� Mental wellness budget Home office budget�� Pay in crypto�� Pseudonymous Profit sharing Equity compensation⬜ No whiteboard interview�� No monitoring system�� No politics at work�� We hire old (and young)#LocationChennai, Tamil Nadu, IndiaSalary: . Date posted: 04/20/2024 08:14 AM