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Big Data Solutions Engineer Salary in Hyderabad - PayScale

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Senior Software Development Engineer, Business Data Technologies
Amazon, Hyderabad, TS, IN
DESCRIPTIONBusiness Data Technologies (BDT) makes it easier for teams across Amazon to produce, store, catalog, secure, move, and analyze data at massive scale. Our managed solutions combine standard AWS tooling, open-source products, and custom services to free teams from worrying about the complexities of operating at Amazon scale. This lets BDT customers move beyond the engineering and operational burden associated with managing and scaling platforms, and instead focus on scaling the value they can glean from their data, both for their customers and their teams.We own the one of the biggest (largest) data lakes for Amazon where 1000’s of Amazon teams can search, share, and store EB (Exabytes) of data in a secure and seamless way; using our solutions, teams around the world can schedule/process millions of workloads on a daily basis. We provide enterprise solutions that focus on compliance, security, integrity, and cost efficiency of operating and managing EBs of Amazon data.Key job responsibilitiesAs a Sr. Software Development Engineer, you will:Lead architecture of large initiatives in scaling, security and availability.Design, develop and support a world-class system that serves diverse user profiles and teamsProduce bullet-proof code that is robust, efficient and maintainable; our primary languages are Java and PythonContinually challenge what exists and explore what should be changed to best meet evolving business and market needs.Possess expert knowledge in large scale distributed system design and engineering best practicesParticipate in setting a vision and objectives in alignment with business and market needsDrive and work on algorithm and architecture design, execute and deliver results.Invent the future, instead of just being a bystanderJoin a great group of motivated, top-notch, people and work with them to solve interesting and useful problems in a fun, collaborative environmentWe are open to hiring candidates to work out of one of the following locations:Hyderabad, TS, INDBASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience as a mentor, tech lead or leading an engineering teamPREFERRED QUALIFICATIONS- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalent
Sr Data Engineer, Ops Finance Transportation
Amazon, Hyderabad, TS, IN
DESCRIPTIONThe Amazon transportation controllership team is looking for a Senior Data Engineer who is data-driven and detail oriented, to partner in expanding our financial data systems to support our global transportation network. You should have excellent business and communication skills to be able to work with business owners and tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate. This person must be strategic and have strong analytical skills, robust interpersonal and influencing skills, strong organizational and project management skills, and is a self-starter. They will need to roll up their sleeves, work both independently and collaboratively across teams, and have a high level of ownership and accountabilityKey job responsibilities- Architect and develop end to end scalable data infrastructure and data pipelines- Develop data products, deploy highly performant solutions, build data infrastructure leveraging AWS services (such as EC2, Redshift, EMR, Lambda, Quicksight etc.)- Improve existing solutions and come up with next generation Data Architecture to improve scale, quality, timeliness, coverage, monitoring and security.- Develop new data models and end to data pipelines.- Lead design reviews for other Data Engineers on the team and actively participate in design reviews of related tech products.- Provide technical and thought leadership for Data Engineering and Business Intelligence- Create and implement Data Governance strategy for mitigating privacy and security risks- Design, implement, and support a platform providing secured access to large datasets.- Interface with multiple finance and accounting customers, gathering requirements and delivering complete data solutions.- Develop ETL pipeline that links various datasets that could serve the analysis objectives in the most efficient way- Analyze and solve problems at their root, stepping back to understand the broader context.- Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWSA day in the lifeWork with the largest dataset in logistics management anywhere in the world to drive business insights, support operations and build analytical solutions for partners which can help drive cost control and decision making. As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models, Gen Ai and ad-hoc data requests. You will be exposed to cutting edge AWS big data technologies.About the teamTrans Controllership in Finance is one of the most challenging and exciting spaces to work for, with new geographies, new modes and new carriers being launched every day and being required to seamlessly integrate with the Transportation technical systems for automatic Ingestion of Freight invoices, thorough auditing, timely payment and for proper accounting to keep our books clean and accurate. We are open to hiring candidates to work out of one of the following locations:Hyderabad, TS, INDBASIC QUALIFICATIONS- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience mentoring team members on best practices- - Design & Implementation of automated data contract and data quality enforcement mechanisms- - Expertise at least in 1 data Orchestration tool- - Working experience in CDKPREFERRED QUALIFICATIONS- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience operating large data warehouses- Master's degree- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets- Knowledge of distributed systems as it pertains to data storage and computing- - Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations- - Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy- - Experience providing technical leadership and mentoring other engineers for best practices on data engineering- - Strong understanding and experience with DBMS internals.- - Strong understanding of system performance and scaling- - Knowledge on LLM and Gen Ai.
Analyst, Data Engineer
TTEC, Andhra Pradesh, Hyderabad
TEC Digital Consulting’sInsights Practice is looking for a Data Engineer who is passionate aboutsolving complex data problems and intricate engineering issues with largesystems. We combine human insightand the speed of technology to transform our clients’ interactions with theircustomers. Advanced analytics of the customer experience and customerinteractions is our expertise. What you’ll be doing: The data engineer will be responsible for all aspects of executionand delivery for new and ongoing client implementations of the analyticplatform. This will require working with clients and coordinating with internalbusiness consulting, analyst, data science, and technology teams. Primary Responsibilities: Technical and functional analysis of customer implementation and integration requirementsDocumentation of implementation requirements and expected effortConfiguration and setup of the analytics platformConfiguration of data loaders and development and configuration of workflow processes and customizations to the platformParticipate in testingProactive identification of internal and external dependencies, highlighting issues, scope changes, and progress against project planCommunication of project status/issues to clients and internal managementPartner with various internal teamsProvide technical support to assist clients and partners during and post implementation. Required Experience and Skills:Bachelor’s Degree in Computer Science, Information Systems or related with 2-3 years of relevant experienceIn-depth familiarity with Big data technology and its application.Proficiency with the Azure or AWS ecosystemExperience with Big Data ETLUnderstanding of complex data flows, identification of data processing bottlenecks and designing and implementing solutions.Proficiency in .NET, C#, Python, Linux bash, Power Shell.Experienced in consuming third-party REST APIs (JSON) and SDKsA broad set of technical skills and knowledge across hardware, software, systems and solutions development and across more than one technical domain.Experienced in U SQL, PostgreSQ, TSQL Experience in professional services or technical consulting with enterprise software solutions, specifically enterprise software installation, configuration, customization, and testing.Proven ability to balance and manage multiple, competing priorities.Collaborative interpersonal skills and ability to work within cross-functional teams.Self-starter who relies on experience and judgment to plan and accomplish goals in complex fast-paced environment to ensure quality of all data integration points.Excellent customer service skills.Creative problem-solving and analysis skills.Ability to handle problem situations quickly, inventively, and resourcefully.Project management skills including:Ability to prioritize and manage tasksAbility to plan, commit, and deliver to schedulesAbility to identify, escalate, and manage project issuesWillingness to work extended hours on an as-needed basisEmployment Requirements: TTEC requires all employees hired in the India to successfully pass a background check including employment credentials, education, permanent and current address verification and if applicable, immigration and work permit documentation as a condition of employment. Depending on location and client program, a drug test may also be required as a condition of employment. TTEC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. You will be asked to share with TTEC as well as its representatives, all such personal information that it may require to conduct such background verification and also agree to TTEC and its representatives collecting and storing such personal information and transferring the same, whether in India or abroad.
Cisco UCCE Solutions Engineer
TTEC, Andhra Pradesh, Hyderabad
When everything'sconnected, how we connect is everything… and we'd like to connect with youtoo! We are looking for you to help us deliver exceptional customerexperiences as Cisco UCCE Solutions Engineer. At TTEC, we helpglobal brands provide a great experience to their customers, build customerloyalty, and grow their business. We were founded on one guiding principle:customer experiences that are simple, inspired, and more human deliver lastingvalue for everyone. Your role brings that principle to life. TTEC, a 50,000employee, global customer experience pioneer, is opening a new informationtechnology and data science center of excellence in Hyderabad where you'll havethe opportunity to get in on the ground floor of this expansion. As a technologist, weknow you're in high demand. And we know it's important you find the right fitfor your future. Have ideas you want to contribute? We're listening. Lookingfor exposure to different clients, different technologies? It's what we do.Want to make an impact on the future? We're innovating every day. Teamwork key?You'll have the opportunity to work on global projects with a knowledge-thirsty,international team. Join our inclusive IT team and you'll help createmeaningful employee experiences that drive memorable customer experiences.AboutTTEC: We are an award-winning premier technology services provider offering contactcenter, web and speech-enabled self-service applications with ProfessionalServices, Premise and Cloud Services, CRM Integration, Managed Services andUnified Communications. We attribute oursuccess to our talented team of professionals who are passionate about thedrive for results and providing best in class service to our clients. We have an immediate openingfor an experienced Cisco UCCE Solutions Engineer to help develop salesdeliverables in support of our business development efforts. Your knowledge and experience in theconverged IP contact center, voice self-service solutions (application andinfrastructure) and Cisco Contact Center Solutions space will be the key forsuccess in this role. What you’ll be doing:Looking for an opportunity to go to marketwith a best of breed integrated omnichannel tech stack in the cloud? The offergoes beyond just omni technology, we take our customer engagement strategy tothe next level incorporating technology and services including consulting, bigdata analytics, and automation (Bots). As part of our SolutionsEngineering team you’ll help develop leads and build partner relationships insupport of our business development efforts. In partnership with our DirectSales team in a pre-sales capacity, you’ll leverage your Cisco Contact Centerdesign and adjacent solutions architecture expertise. Responsibilities: Develop Solution Design / Configuration:Communicate with Lead Sales Engineers to gather and understandrequirementsDevelop detailed design solutions including the bill of material (BoM)configurations, VM layouts and architecture diagramsCommunicate and collaborate with Lead Sales Engineers to submit staffingprofessional services’ estimate requestsDevelop ‘Solution Review’ presentationsCoordinate preparation of materials and assist Lead Sales Engineerwith the Cisco (A2Q/DMS) and internal Design Review processes.Develop Proposals and SOWs using standard TTEC templates Provide a major contributing technical role for RFP ResponseDevelopmentCoordinate and provide assistance to Lead Sales Engineer inconsolidating pricing from third-party quotes, bill of materials andprofessional services estimate into pricing template/tool. Requiredskills:2+ years presales experience designing complex Contact Center, voice self-service solutions (applications and infrastructure) 3 to 5 years design and architecture experience working with Cisco UCCE solutions is preferred.Strong English language verbal and written communications skills We offer an outstanding career development opportunity, a competitive base salary and full comprehensive benefits. We are looking for individuals with a team player attitude, strong drive for career growth and a passion for excellence in client delivery, support and satisfaction.Employment Requirements: TTEC requires all employees hired in the India to successfully pass a background check including employment credentials, education, permanent and current address verification and if applicable, immigration and work permit documentation as a condition of employment. Depending on location and client program, a drug test may also be required as a condition of employment. TTEC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. You will be asked to share with TTEC as well as its representatives, all such personal information that it may require to conduct such background verification and also agree to TTEC and its representatives collecting and storing such personal information and transferring the same, whether in India or abroad.
Data Engineer I, SCOT - AIM
Amazon, Hyderabad, Any
BASIC QUALIFICATIONS- 1+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)- Experience with one or more scripting language (e.g., Python, KornShell)DESCRIPTIONSCOT's Automated Inventory Management (AIM) team is seeking talented individuals who enjoy the challenge of diving into complex problems and solving the unsolvable to help our executives make impactful business decisions. AIM teams owns Availability , Speed, Inventory & Auditing at Scale metrics that measures & improves the overall customer experience. We regularly work directly with executive leadership to improve that experience.As a Data Engineer, you will analyze large amounts of business data, solve real world problems, and develop metrics and business cases that will enable us to continually delight our customers worldwide. In this role, you will work closely with a team of Business Intelligence Engineers, Data Engineers and Data Scientists to automate and architect data pipelines, and to make the data more actionable to manage business at scale. Successful candidates will bring strong technical abilities combined with a passion for delivering results for customers, internal and external.Key job responsibilities• Participate in the full development cycle for ETL: design, implementation, validation, documentation, and maintenance .• Build and improve Data solutions by translating business requirements into robust, scalable, and supportable solutions that work well within the overall system architecture.• Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions.• Monitor and troubleshoot operational or data issues in the data pipelines.We are open to hiring candidates to work out of one of the following locations:Bangalore, KA, IND | Hyderabad, TS, INDPREFERRED QUALIFICATIONS- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasetsSalary: . Date posted: 04/06/2024 09:32 AM
Sr. Data Engineer
Amazon, Hyderabad, TS, IN
DESCRIPTIONAre you passionate about data and code? Does the prospect of dealing with massive volumes of data excite you? Do you want to build data engineering solutions that process billions of records and supports handling of translations data using AWS technologies? Do you want to create the next-generation product for self-service data transformation? If so, Translation Services team is for you!The goal of Intech Translation Services (TS) team is to provide high quality, on-time translations to Amazon business teams, enabling them to expand globally at scale. Our team has a direct impact on retail CX, a key component that runs our Amazon fly wheel.As a Data Engineer, you would own the architecture of DW solutions for the Enterprise using multiple platforms. You would have the opportunity to lead the design, creation and management of extremely large datasets working backwards from business use case. You would use your strong business and communication skills to be able to work with business analysts and engineers to determine how best to design the data warehouse for reporting and analytics. You will be responsible for designing and implementing scalable ETL processes in the data warehouse platform to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making. Key job responsibilities- Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal BDT tools (Datanet, Cradle, QuickSight etc.- Improve existing solutions and come up with next generation Data Architecture to improve scale, quality, timeliness, coverage, monitoring and security.- Develop new data models and end to data pipelines.- Lead design reviews for other Data Engineers on the team and actively participate in design reviews of related tech products.- Provide technical and thought leadership for Data Engineering and Business Intelligence within TS org.- Create and implement Data Governance strategy for mitigating privacy and security risksWe are open to hiring candidates to work out of one of the following locations:Hyderabad, TS, INDBASIC QUALIFICATIONS- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience mentoring team members on best practicesPREFERRED QUALIFICATIONS- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience operating large data warehouses
Sr. Staff Data Engineer ( Data Platform)
Discovery, Inc. (Formerly Scripps Networks Interactive), Hyderabad, Any
Every great story has a new beginning, and yours starts here. Welcome to Warner Bros. Discovery... the stuff dreams are made of. Who We Are... When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next...From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Sr Staff Data Engineer - Hyderabad, India . About Warner Bros. Discovery: Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media's premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.For more information, please visit www.wbd.com . Meet our team: The Data & Analytics organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and non-streaming products such as Films Group, Sports, News and overall WBD eco-system. Our mission is to foster unified analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape. Roles & Responsibilities: We are looking for a highly motivated Sr Staff Data Engineer to build a state-of-the-art data platform to solve various data-driven use cases across the organization. This platform will host various data products such as but not limited to, Subscription, Content, and Product Analytics, Personalization and Recommendation, Marketing & Ad-Sales enablement. You will be charged with building a new core data platform in the cloud - handles both streaming and batch data processing, capable of solving any big data initiatives in scope now or evolve in future as well. You will be helping data engineers, analysts, and scientists perform their functions by building highly scalable capabilities across the platform.This individual will bring in his/her expertise in a wide variety of big data processing frameworks (both open source and proprietary), large scale database systems (OLAP and OLTP), stream data processing, API Development, Machine learning operationalization, and cloud automation to build and support all the data needs across our platform.Take lead role in translating various business requirements in to engineering architecture.Build software across our entire cutting-edge data platform, including event driven data processing, storage, and serving through scalable and highly available APIs, with cutting-edge technologies.Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.Work closely with data analysts and business stake holders to make data easily accessible and understandable to them.Ensure data quality by implementing re-usable data quality frameworks.Develop and enforce data engineering, security, data quality standards through automation.Participate in supporting the platform 24X7.Be passionate about growing team - hire and mentor engineers and analysts.Be responsible for cloud cost and improving efficiency. What to Bring : Bachelor's degree in computer science or similar discipline15+ years of experience in software engineering and/or data engineeringAbility and willingness to learn any new technologies and apply them at work in order to stay ahead of the curve.Expertise in at least few programming languages - Java, Scala, Python or similar.Expertise in building and managing large volume data processing (both streaming and batch) platform is a must.Expertise in stream processing systems such as Kafka, Kinesis, Pulsar or SimilarExpertise in distributed data processing frameworks such as Apache Spark, Flink or similar.Expertise in SQL and No-SQL - Apache Cassandra, DynamoDB, MySQLExpertise in OLAP databases such as Snowflake or Redshift.Experience in operationalizing and scaling machine models is a huge plus.Experience with variety of data Tools & frameworks (example: Apache Airflow, Druid) will be a huge plus.Experience with Analytics Tools such as Looker, Tableau is preferred.Cloud (AWS) experience is preferredDirect to consumer digital business experience is preferredStrong interpersonal, communication and presentation skills. How We Get Things Done... This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. The Legal Bits... Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.If you're a qualified candidate and you require adjustments or accommodations to search for a job opening or apply for a position, please contact us at [email protected]: . Date posted: 04/17/2024 07:15 AM
Data Engineering - LMTS - Hyderabad
Salesforce, Hyderabad, Any
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software EngineeringJob Details About Salesforce We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place. Salesforce Cloud Economics and Capacity Management (CECM) team is looking for an experienced and committed data engineer to build data pipelines and metrics for Salesforce internal customers in order to establish a robust platform that enables strategic decision-making pertaining to Salesforce infrastructure expenditure and capacity management. The right candidate must have strong data architecture, ETL, SQL and a proven track record working with enterprise metrics to build automated data pipelines. The candidate should also have strong operational skills to drive efficiency and speed, expertise building repeatable data engineering processes, and a vision for how to deliver data products. Experience with Tableau analytics tool is a huge plus.ResponsibilitiesDevelop, automate, enhance, maintain ETL pipelinesIndependently design & develop resilient and reusable automation data frameworks.Responsible for end-to-end delivery including performance tuning, monitoring applications, analyzing logs and performing system operations.Evaluate and determine root cause and resolve production issues.Work with internal team members and external partners to support data collection and analysis and understand reporting needsWork and collaborate with global teams across AMER, and APAC.Required Skills/ExperienceBachelors degree in Computer Science.7+ years of experience in data engineering, data modelling, automation and analyticsDeep understanding of data engineering tech stack, database designs, associated tools, system components, internal processes and architecture.Experience working as a technical lead/solution architect in a customer-focused teamMust be able to strategically communicate status and identify risksSelf-starter, highly motivated, able to shift directions quickly when priorities change, think through problems to come up with innovative solutions and deliver against tight deadlines.Must be results oriented and able to move forward with minimal directionHands-on expertise in building scalable data pipelines using best practices in data modelling and ETL processesDeep proficiency in SQL and demonstrated experience in PythonProficiency in Big Data technologies like Spark, Trino, Hive, AirflowExperience working in Agile and Scrum methodology, incremental delivery, and CI/CDExperienced in cloud provider platforms such as AWS, Azure, GCPExperience working with globally distributed engineering teams.Experience with data visualization tools like Tableau is a PlusAccommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .Posting Statement At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com . Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce . Salesforce welcomes all.Salary: . Date posted: 04/18/2024 03:17 PM
Data Engineering - MTS - Hyderabad
Salesforce, Hyderabad, Any
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software EngineeringJob Details About Salesforce We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place. Job DescriptionSalesforce Cloud Economics and Capacity Management (CECM) team is looking for an experienced and committed data engineer to build data pipelines and metrics for Salesforce internal customers in order to establish a robust platform that enables strategic decision-making pertaining to Salesforce infrastructure expenditure and capacity management. The right candidate must have strong data architecture, ETL, SQL and a proven track record working with enterprise metrics to build automated data pipelines. The candidate should also have strong operational skills to drive efficiency and speed, expertise building repeatable data engineering processes, and a vision for how to deliver data products. Experience with Tableau analytics tool is a huge plus.ResponsibilitiesDevelop, automate, enhance, maintain ETL pipelinesIndependently design & develop resilient and reusable automation data frameworks.Responsible for end-to-end delivery including performance tuning, monitoring applications, analyzing logs and performing system operations.Evaluate and determine root cause and resolve production issues.Work with internal team members and external partners to support data collection and analysis and understand reporting needsWork and collaborate with global teams across AMER, and APAC.Required Skills/ExperienceBachelors degree in Computer Science.3+ years of experience in data engineering, data modelling, automation and analyticsDeep understanding of data engineering tech stack, database designs, associated tools, system components, internal processes and architecture.Experience working as a technical lead/solution architect in a customer-focused teamMust be able to strategically communicate status and identify risksSelf-starter, highly motivated, able to shift directions quickly when priorities change, think through problems to come up with innovative solutions and deliver against tight deadlines.Must be results oriented and able to move forward with minimal directionHands-on expertise in building scalable data pipelines using best practices in data modelling and ETL processesDeep proficiency in SQL and demonstrated experience in PythonProficiency in Big Data technologies like Spark, Trino, Hive, AirflowExperience working in Agile and Scrum methodology, incremental delivery, and CI/CDExperienced in cloud provider platforms such as AWS, Azure, GCPExperience working with globally distributed engineering teams.Experience with data visualization tools like Tableau is a PlusAccommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .Posting Statement At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com . Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce . Salesforce welcomes all.Salary: . Date posted: 04/18/2024 03:17 PM
Software Engineering SMTS (Big Data)
Salesforce, Hyderabad, Any
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software EngineeringJob Details About Salesforce We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place. The Data and Analytics Organization (DnA) is Salesforce's cornerstone for fostering growth and margins through unparalleled data insights. From robust governance to strategic execution, we support data pioneers with an unbiased approach. Our Enterprise Data Strategy builds a solid data foundation, fostering a culture of data-driven decisions. We ensure end-to-end quality through a cohesive data supply chain. By deploying and integration platform tools, we enable seamless data access and automated data management driving efficiency and growth with actionable insights. As a steadfast partner, we shape a data ecosystem that fuels innovation. Our commitment to integrity and accessibility propels informed decision-making, propelling Salesforce to new heights of excellence. Interesting Articles about some of our work and our culture: https://www.salesforce.com/blog/what-does-salesforce-do/https://www.salesforce.com/company/equality/https://www.salesforce.com/resources/dataTeam Overview: Data Strategy and Management Engineering team brings Data to life, partnering with data producers and platform engineers to empower data consumers (data scientists, data analysts and visualization engineers) who consume data for business analytics and AI augmented solutions. We do this by delivering trusted data, in an agile way and make it accessible for a variety of use cases. We pride ourselves in being data curious (one who has an intrinsic need to understand a data point). We architect, automate, and scale our data curation frameworks, services, and processes to rapidly integrate disconnected and disparate raw data into a business-relevant asset and work towards one common theme - Customer Success.Role Description:Take ownership of designing, developing, and building complex data pipelines, frameworks, and solutions that align with business objectives. Ensure data quality, integrity, security, and scalability.Provide strong technical leadership within the data engineering team, guiding and mentoring junior data engineers, and leading by example.Champion engineering best practices, automate processes, and contribute to tools that streamline operations and enhance overall reliability.Drive data integration strategies and frameworks, contributing to the connection of diverse data sources for data-driven decision-making.Contribute to data modeling efforts, optimizing data structures for analytical and operational purposes.Contribute to maintaining documentation of data engineering standards, best practices, and processes.Actively seek opportunities for innovation in data engineering processes and solutions, with a focus on scalability.Expertise in big data technologies like Hadoop, Spark, Presto, Hive, Snowflake etc...Strong coding skills in Python/Java/Scala or equivalentStrong proficiency in data modeling and algorithms.Understanding of scalability and reliability concerns for data-intensive applicationsHave that unique viewpoint to solve problems that make others run and cower.Exceptional communication skills, and articulate technical concepts into easy-to-understand language for business partners.Effectively brainstorm, encourage ideation processPreferred: Experience with cloud-based data platforms (e.g., AWS,GCP).Minimum Requirements:Bachelor's or Master's degree in Computer Science, Information Technology, or related field.6+ years of experience in data engineering and related roles.Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .Posting Statement At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com . Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce . Salesforce welcomes all.Salary: . Date posted: 04/19/2024 03:17 PM