3678 Redshift Jobs - Page 34

Job Title - Data Engineer Sr.Analyst ACS Song Management Level: Level 10- Sr. Analyst Location: Kochi, Coimbatore, Trivandrum Must have skills: Python/Scala, Pyspark/Pytorch Good to have skills: Redshift Job Summary You’ll capture user requirements and translate them into business and digitally enabled solutions across a range of industries. Your responsibilities will include: Responsibilities Roles and Responsibilities Designing, developing, optimizing, and maintaining data pipelines that adhere to ETL principles and business goals Solving complex data problems to deliver insights that helps our business to achieve their goals. Source data (structured→ unstructured) from various touchpoints, format and organize them into an analyzable format. Creating data products for analytics team members to improve productivity Calling of AI services like vision, translation etc. to generate an outcome that can be used in further steps along the pipeline. Fostering a culture of sharing, re-use, design and operational efficiency of data and analytical solutions Preparing data to create a unified database and build tracking solutions ensuring data quality Create Production grade analytical assets deployed using the guiding principles of CI/CD. Professional And Technical Skills Expert in Python, Scala, Pyspark, Pytorch, Javascript (any 2 at least) Extensive experience in data analysis (Big data- Apache Spark environments), data libraries (e.g. Pandas, SciPy, Tensorflow, Keras etc.), and SQL. 2-3 years of hands-on experience working on these technologies. Experience in one of the many BI tools such as Tableau, Power BI, Looker. Good working knowledge of key concepts in data analytics, such as dimensional modeling, ETL, reporting/dashboarding, data governance, dealing with structured and unstructured data, and corresponding infrastructure needs. Worked extensively in Microsoft Azure (ADF, Function Apps, ADLS, Azure SQL), AWS (Lambda,Glue,S3), Databricks analytical platforms/tools, Snowflake Cloud Datawarehouse. Additional Information Experience working in cloud Data warehouses like Redshift or Synapse Certification in any one of the following or equivalent AWS- AWS certified data Analytics- Speciality Azure- Microsoft certified Azure Data Scientist Associate Snowflake- Snowpro core- Data Engineer Databricks Data Engineering About Our Company | Accenture (do not remove the hyperlink) , Experience: 3.5 -5 years of experience is required Educational Qualification: Graduation (Accurate educational details should capture)

P3-C3-TSTS AWS DATA PM We are seeking an experienced AWS Data Manager to lead and manage the design, implementation, and optimization of our cloud-based data infrastructure. This role involves overseeing the architecture, governance, and operations of data platforms hosted on Amazon Web Services (AWS), ensuring scalability, security, and performance to meet business needs. Key Responsibilities Design and manage cloud-based data architectures using AWS services such as S3, Redshift, Glue, RDS, Athena, and Lake Formation. Lead data strategy initiatives including data modeling, warehousing, and lakehouse solutions. Implement data governance policies, standards, and best practices. Manage a team of data engineers, analysts, and administrators. Collaborate with stakeholders across departments to gather requirements and prioritize initiatives. Monitor and optimize data systems performance, cost, and reliability. Stay current with AWS updates, industry trends, and emerging data technologies. Evaluate and implement tools for data cataloging, observability, and automation. Bachelors or Masters degree in Computer Science, Information Systems, Data Science, or related field. 12+ years of experience in data engineering or data management roles. 5+ years of hands-on experience with AWS data services (e.g., Redshift, Glue, EMR, S3, Lambda). Strong SQL, Python,PySpark and data modeling skills. Experience with data pipeline tools (Airflow, AWS Glue, Step Functions). Familiarity with DevOps and Infrastructure-as-Code (e.g., AWS CDK, CloudFormation). Secondary Skill AWS Certified Data Analytics Specialty or AWS Solutions Architect certification. Experience with real-time data processing (Kinesis, Kafka). Knowledge of BI tools such as Tableau, Power BI, or QuickSight. Familiarity with Agile methodologies and tools like Jira or Confluence.

Job Title: Software Engineer Location: Bangalore L&T Technology Services is seeking a 10+ Years of experience Software Engineer to lead the design and development of scalable backend infrastructure and data ingestion pipelines for cloud-based solutions. You will work with cross-functional teams to build systems that deliver actionable insights from large-scale home network deployments. Proficient in: Design and maintain microservices and data ingestion workflows for customer support platforms Lead backend architecture for scalability, reliability, and security Collaborate with product owners to define and deliver cloud-based solutions Drive technical discussions, documentation, testing, and production support Engage in field issue resolution and customer support Strong experience with Java, Kafka, microservices, node.js and cloud platforms (GCP preferred) Knowledge of home networking protocols (TR-069/TR-369, etc.) is a plus Familiar with real-time streaming and analytics stacks (e.g., Spark, Flink, Cassandra) Proficient in designing event-driven and API-based systems Excellent problem-solving and communication skills Skills required: Java, Go, Python, Node.js, microservices, API design, Kafka, real-time and batch data processing (Spark, Flink, Kinesis), GCP/Azure cloud, transactional and NoSQL databases (Cassandra, Elastic, Redshift), home network protocols (TR-069/TR-369), cloud deployment, test automation, and technical leadership with 10+ years of hands-on software engineering experience.

Data Engineer Must have 9+ years of experience in below mentioned skills. Must Have: Big Data Concepts Python(Core Python- Able to write code), SQL, Shell Scripting, AWS S3 Good to Have: Event-driven/AWA SQS, Microservices, API Development,Kafka, Kubernetes, Argo, Amazon Redshift, Amazon Aurora

We’re looking for a talented and results-oriented Cloud Solutions Architect to work as a key member of Sureify’s engineering team. You’ll help build and evolve our next-generation cloud-based compute platform for digitally-delivered life insurance. You’ll consider many dimensions such as strategic goals, growth models, opportunity cost, talent, and reliability. You’ll collaborate closely with the product development team on platform feature architecture such that the architecture aligns with operational needs and opportunities. With the number of customers growing and growing, it’s time for us to mature the fabric our software runs on. This is your opportunity to make a large impact at a high-growth enterprise software company. Key Responsibilities : Collaborate with key stakeholders across our product, delivery, data and support teams to design scalable and secure application architectures on AWS using AWS Services like EC2, ECS, EKS, Lambdas, VPC, RDS, ElastiCache provisioned via Terraform Design and Implement CICD pipelines using Github, Jenkins and Spinnaker and Helm to automate application deployment and updates with key focus on container management, orchestration, scaling, optimizing performance and resource utilization, and deployment strategies Design and Implement security best practices for AWS applications, including Identity and Access Management (IAM), encryption, container security and secure coding practices Design and Implement best practices for Design and implement application observability using Cloudwatch and NewRelic with key considerations and focus on monitoring, logging and alerting to provide insights into application performance and health. Design and implement key integrations of application components and external systems, ensuring smooth and efficient data flow Diagnose and resolve issues related to application performance, availability and reliability Create, maintain and prioritise a quarter-over-quarter backlog by identifying key areas of improvement such as cost optimization, process improvement, security enhancements etc. Create and maintain comprehensive documentation outlining the infrastructure design, integrations, deployment processes, and configuration Work closely with the DevOps team and as a guide/mentor and enabler to ensure that the practices that you design and implement are followed and imbibed by the team Required Skills: Proficiency in AWS Services such as EC2, ECS, EKS, S3, RDS, VPC, Lambda, SES, SQS, ElastiCache, Redshift, EFS Strong Programming skills in languages such as Groovy, Python, Bash Shell Scripting Experience with CICD tools and practices, including Jenkins, Spinnaker, ArgoCD Familiarity with IaC tools like Terraform or CloudFormation Understanding of AWS security best practices, including IAM, KMS Familiarity with Agile development practices and methodologies Strong analytical skills with the ability to troubleshoot and resolve complex issues Proficiency in using observability, monitoring and logging tools like AWS Cloudwatch, NewRelic, Prometheus Knowledge of container orchestration tools and concepts including Kubernetes and Docker Strong teamwork and communication skills with the ability to work effectively with cross function teams Nice to haves AWS Certified Solutions Architect - Associate or Professional

Company Description At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Job Description This role will be part of a team that develops software that processes data captured every day from over a quarter of a million Computer and Mobile devices worldwide. Measuring panelists activities as they surf the Internet via Browsers, or utilizing Mobile App’s download from Apple’s and Google’s store. The Nielsen software meter used to capture this usage data has been optimized to be unobtrusive yet gather many biometric data points that the backend system can use to identify who is using the device, and also detect fraudulent behavior. The Software Engineer is ultimately responsible for delivering technical solutions: starting from the project's onboard until post launch support and including design, development, testing. It is expected to coordinate, support and work with multiple delocalized project teams in multiple regions. As a member of the technical staff with our Digital Meter Processing team, you will further develop the backend system that processes massive amounts of data every day, across 3 different AWS regions. Your role will involve designing, implementing, and maintaining robust, scalable solutions that leverage a Java based system that runs in an AWS environment. You will play a key role in shaping the technical direction of our projects and mentoring other team members. Responsibilities System Deployment: Conceive, design and build new features in the existing backend processing pipelines. CI/CD Implementation: Design and implement CI/CD pipelines for automated build, test, and deployment processes. Ensure continuous integration and delivery of features, improvements, and bug fixes. Code Quality and Best Practices: Enforce coding standards, best practices, and design principles. Conduct code reviews and provide constructive feedback to maintain high code quality. Performance Optimization: Identify and address performance bottlenecks in both reading, processing and writing data to the backend data stores. Mentorship and Collaboration: Mentor junior engineers, providing guidance on technical aspects and best practices. Collaborate with cross-functional teams to ensure a cohesive and unified approach to software development. Security and Compliance: Implement security best practices for all tiers of the system. Ensure compliance with industry standards and regulations related to AWS platform security. Qualifications Key Skills Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related field. Proven experience, minimum 3 years, in high-volume data processing development expertise using ETL tools such as AWS Glue or PySpark , Java, SQL and databases such as Postgres Minimum 2 years development on an AWS platform Strong understanding of CI/CD principles and tools. GitLab a plus Excellent problem-solving and debugging skills. Strong communication and collaboration skills with ability to communicate complex technical concepts and align organization on decisions Sound problem-solving skills with the ability to quickly process complex information and present it clearly and simply Utilizes team collaboration to create innovative solutions efficiently Other Desirable Skills Knowledge of networking principles and security best practices. AWS certifications Experience with Data Warehouses, ETL, and/or Data Lakes very desirable Experience with RedShift, Airflow, Python, Lambda, Prometheus, Grafana, & OpsGeni a bonus Exposure to the Google Cloud Platform (GCP) Additional Information Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Position Summary We are seeking a highly experienced and visionary Principal Data Engineer with over 20 years of industry experience to lead the design, development, and optimization of our enterprise-scale data infrastructure. This role is ideal for a seasoned data professional who thrives at the intersection of technology strategy, architecture, and hands-on engineering. You will drive innovation, mentor engineering teams, and collaborate with cross-functional stakeholders to enable data-driven decision-making across the organization. Key Responsibilities Architecture & Strategy Define and own the data engineering roadmap, architecture, and data platform strategy. Evaluate and implement scalable, secure, and cost-effective data technologies. Lead the transition to modern data platforms (e.g., cloud, data lakehouse, streaming architecture). Engineering Leadership Lead end-to-end design and development of robust ETL/ELT pipelines, data lakes, and real-time streaming systems. Provide hands-on guidance on data modeling, pipeline optimization, and system integration. Oversee deployment and automation of data pipelines using CI/CD, orchestration tools (e.g., Airflow), and infrastructure-as-code. Data Governance & Quality Define best practices for data governance, lineage, privacy, and security. Implement data quality frameworks and monitoring strategies. Cross-Functional Collaboration Work closely with data scientists, analysts, product owners, and engineering leaders to define data requirements. Serve as a thought leader and technical advisor to senior management and stakeholders. Mentorship & Team Development Mentor and coach senior engineers and technical leads. Lead architectural reviews, code reviews, and foster a culture of technical excellence. Required Qualifications: 20+ years of hands-on experience in data engineering, software engineering, or data architecture. Proven track record of building and scaling enterprise data platforms and systems. Deep expertise in SQL, Python/Scala/Java, Spark, and distributed data systems. Strong experience with cloud platforms (AWS, GCP, or Azure), especially cloud-native data tools (e.g., Redshift, BigQuery, Snowflake, Databricks). Experience with real-time streaming technologies (Kafka, Flink, Kinesis). Solid understanding of data modeling (dimensional, normalized, NoSQL). Familiarity with DevOps and MLOps practices in a data environment. Excellent communication skills and ability to influence at the executive level. Preferred Qualifications: Master’s or Ph.D. in Computer Science, Data Engineering, or a related field. Experience in regulated industries (e.g., finance, healthcare). Prior experience in global organizations and managing geographically distributed teams.

BOLD is seeking an ETL Specialist who will help build the architecture and maintain a robust, scalable, and sustainable business intelligence platform. Assisted by the Data Team, this role will work with highly scalable systems, complex data models, and a large amount of transactional data. Job Description ABOUT THIS TEAM BOLD Business Intelligence(BI) team is a centralized team responsible for managing all aspects of the organization's BI strategy, projects and systems. BI team enables business leaders to make data-driven decisions by providing reports and analysis. The team is responsible for developing and manage a latency-free credible enterprise data warehouse which is a data source for decision making and input to various functions of the organization like Product, Finance, Marketing, Customer Support etc. BI team has four sub-components as Data analysis, ETL, Data Visualization and QA. It manages deliveries through Snowflake, Sisense and Microstrategy as main infrastructure solutions. Other technologies including Python, R, Airflow are also used in ETL, QA and data visualizations. WHAT YOU’LL DO Architect, develop, and maintain a highly scalable data warehouse and build/maintain ETL processes. Utilize Python and Airflow to integrate data from across the business into data warehouse. Integrate third party data into the data warehouse like google analytics, google ads, Iterable WHAT YOU’LL NEED Experience working as an ETL developer in a Data Engineering, Data Warehousing or Business Intelligence team Understanding of data integration/data engineering architecture and should be aware of ETL standards, methodologies, guidelines and techniques Hands on with python programming language and its packages like Pandas, NumPy Strong understanding of SQL queries, aggregate functions, Complex joins and performance tuning Should have good exposure of Databases like Redshift/SQL Server/Oracle/PostgreSQL (any one of these) Broad understanding of data warehousing and dimensional modelling concepts EXPERIENCE- Software Engineer, ETL: 2.5 years+ Senior Software Engineer, ETL- 4.5 years+ BENEFITS Outstanding Compensation Competitive salary Tax-friendly compensation structure Bi-annual bonus Annual Appraisal Equity in company 100% Full Health Benefits Group Mediclaim, personal accident, & term life insurance Group Mediclaim benefit (including parents' coverage) Practo Plus health membership for employees and family Personal accident and term life insurance coverage Flexible Time Away 24 days paid leaves Declared fixed holidays Paternity and maternity leave Compassionate and marriage leave Covid leave (up to 7 days) ADDITIONAL BENEFITS Internet and home office reimbursement In-office catered lunch, meals, and snacks Certification policy Cab pick-up and drop-off facility About BOLD We Transform Work Lives As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives. We Celebrate And Promote Diversity And Inclusion We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don't discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law.

Are you excited by the prospect of wrangling data, helping develop information systems/sources/tools, and shaping the way businesses make decisions? The Go-To-Markets Data Analytics team is looking for a skilled Senior Data Engineer who is motivated to deliver top notch data-engineering solutions to support business intelligence, data science, and self-service data solutions. About the Role: In this role as a Senior Data Engineer, you will: Design, develop, optimize, and automate data pipelines that blend and transform data across different sources to help drive business intelligence, data science, and self-service data solutions. Work closely with data scientists and data visualization teams to understand data requirements to ensure the availability of high-quality data for analytics, modelling, and reporting. Build pipelines that source, transform, and load data that’s both structured and unstructured keeping in mind data security and access controls. Explore large volumes of data with curiosity and conviction. Contribute to the strategy and architecture of data management systems and solutions. Proactively troubleshoot and resolve data-related and performance bottlenecks in a timely manner. Be open to learning and working on emerging technologies in the data engineering, data science and cloud computing space. Have the curiosity to interrogate data, conduct independent research, utilize various techniques, and tackle ambiguous problems. Shift Timings: 12 PM to 9 PM (IST) Work from office for 2 days in a week (Mandatory) About You You’re a fit for the role of Senior Data Engineer, if your background includes: Must have at least 6-7 years of total work experience with at least 3+ years in data engineering or analytics domains. Graduates in data analytics, data science, computer science, software engineering or other data centric disciplines. SQL Proficiency a must. Experience with data pipeline and transformation tools such as dbt, Glue, FiveTran, Alteryx or similar solutions. Experience using cloud-based data warehouse solutions such as Snowflake, Redshift, Azure. Experience with orchestration tools like Airflow or Dagster. Preferred experience using Amazon Web Services (S3, Glue, Athena, Quick sight). Data modelling knowledge of various schemas like snowflake and star. Has built data pipelines and other custom automated solutions to speed the ingestion, analysis, and visualization of large volumes of data. Knowledge building ETL workflows, database design, and query optimization. Has experience of a scripting language like Python. Works well within a team and collaborates with colleagues across domains and geographies. Excellent oral, written, and visual communication skills. Has a demonstrable ability to assimilate new information thoroughly and quickly. Strong logical and scientific approach to problem-solving. Can articulate complex results in a simple and concise manner to all levels within the organization. #LI-GS2 What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Are you excited by the prospect of wrangling data, helping develop information systems/sources/tools, and shaping the way businesses make decisions? The Go-To-Markets Data Analytics team is looking for a skilled Data Engineer who is motivated to deliver top notch data-engineering solutions to support business intelligence, data science, and self-service data solutions. About the Role: In this role as a Data Engineer, you will: Design, develop, optimize, and automate data pipelines that blend and transform data across different sources to help drive business intelligence, data science, and self-service data solutions. Work closely with data scientists and data visualization teams to understand data requirements to ensure the availability of high-quality data for analytics, modelling, and reporting. Build pipelines that source, transform, and load data that’s both structured and unstructured keeping in mind data security and access controls. Explore large volumes of data with curiosity and conviction. Contribute to the strategy and architecture of data management systems and solutions. Proactively troubleshoot and resolve data-related and performance bottlenecks in a timely manner. Be open to learning and working on emerging technologies in the data engineering, data science and cloud computing space. Have the curiosity to interrogate data, conduct independent research, utilize various techniques, and tackle ambiguous problems. Shift Timings: 12 PM to 9 PM (IST) Work from office for 2 days in a week (Mandatory) About You You’re a fit for the role of Data Engineer, if your background includes: Must have at least 4-6 years of total work experience with at least 2+ years in data engineering or analytics domains. Graduates in data analytics, data science, computer science, software engineering or other data centric disciplines. SQL Proficiency a must. Experience with data pipeline and transformation tools such as dbt, Glue, FiveTran, Alteryx or similar solutions. Experience using cloud-based data warehouse solutions such as Snowflake, Redshift, Azure. Experience with orchestration tools like Airflow or Dagster. Preferred experience using Amazon Web Services (S3, Glue, Athena, Quick sight). Data modelling knowledge of various schemas like snowflake and star. Has built data pipelines and other custom automated solutions to speed the ingestion, analysis, and visualization of large volumes of data. Knowledge building ETL workflows, database design, and query optimization. Has experience of a scripting language like Python. Works well within a team and collaborates with colleagues across domains and geographies. Excellent oral, written, and visual communication skills. Has a demonstrable ability to assimilate new information thoroughly and quickly. Strong logical and scientific approach to problem-solving. Can articulate complex results in a simple and concise manner to all levels within the organization. #LI-GS2 What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us . Summary: As a Data Engineer based out of our BMS Hyderabad you are part of the Data Platform team along with supporting the larger Data Engineering community, that delivers data and analytics capabilities across different IT functional domains. The ideal candidate will have a strong background in data engineering, DataOps, cloud native services, and will be comfortable working with both structured and unstructured data. Key Responsibilities The Data Engineer will be responsible for designing, building, and maintaining the ETL pipelines, data products, evolution of the data products, and utilize the most suitable data architecture required for our organization's data needs. Responsible for delivering high quality, data products and analytic ready data solution Work with an end-to-end ownership mindset, innovate and drive initiatives through completion. Develop and maintain data models to support our reporting and analysis needs Optimize data storage and retrieval to ensure efficient performance and scalability Collaborate with data architects, data analysts and data scientists to understand their data needs and ensure that the data infrastructure supports their requirements Ensure data quality and integrity through data validation and testing Implement and maintain security protocols to protect sensitive data Stay up-to-date with emerging trends and technologies in data engineering and analytics Closely partner with the Enterprise Data and Analytics Platform team, other functional data teams and Data Community lead to shape and adopt data and technology strategy. Serves as the Subject Matter Expert on Data & Analytics Solutions. Knowledgeable in evolving trends in Data platforms and Product based implementation Has end-to-end ownership mindset in driving initiatives through completion Comfortable working in a fast-paced environment with minimal oversight Mentors other team members effectively to unlock full potential Prior experience working in an Agile/Product based environment Qualifications & Experience 7+ years of hands-on experience working on implementing and operating data capabilities and cutting-edge data solutions, preferably in a cloud environment. Breadth of experience in technology capabilities that span the full life cycle of data management including data lakehouses, master/reference data management, data quality and analytics/AI ML is needed. In-depth knowledge and hands-on experience with ASW Glue services and AWS Data engineering ecosystem. Hands-on experience developing and delivering data, ETL solutions with some of the technologies like AWS data services (Redshift, Athena, lakeformation, etc.), Cloudera Data Platform, Tableau labs is a plus 5+ years of experience in data engineering or software development Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Strong programming skills in languages such as Python, R, PyTorch, PySpark, Pandas, Scala etc. Experience with SQL and database technologies such as MySQL, PostgreSQL, Presto, etc. Experience with cloud-based data technologies such as AWS, Azure, or Google Cloud Platform Strong analytical and problem-solving skills Excellent communication and collaboration skills Functional knowledge or prior experience in Lifesciences Research and Development domain is a plus Experience and expertise in establishing agile and product-oriented teams that work effectively with teams in US and other global BMS site. Initiates challenging opportunities that build strong capabilities for self and team Demonstrates a focus on improving processes, structures, and knowledge within the team. Leads in analyzing current states, deliver strong recommendations in understanding complexity in the environment, and the ability to execute to bring complex solutions to completion. If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us . Summary: As a Data Engineer based out of our BMS Hyderabad you are part of the Data Platform team along with supporting the larger Data Engineering community, that delivers data and analytics capabilities for Data Platforms and Data Engineering Community. The ideal candidate will have a strong background in data engineering, DataOps, cloud native services, and will be comfortable working with both structured and unstructured data. Key Responsibilities The Data Engineer will be responsible for designing, building, and maintaining the data products, evolution of the data products, and utilize the most suitable data architecture required for our organization's data needs. Serves as the Subject Matter Expert on Data & Analytics Solutions. Accountable for delivering high quality, data products and analytic ready data solutions. Develop and maintain ETL/ELT pipelines for ingesting data from various sources into our data warehouse. Develop and maintain data models to support our reporting and analysis needs. Optimize data storage and retrieval to ensure efficient performance and scalability. Collaborate with data architects, data analysts and data scientists to understand their data needs and ensure that the data infrastructure supports their requirements. Ensure data quality and integrity through data validation and testing. Implement and maintain security protocols to protect sensitive data. Stay up-to-date with emerging trends and technologies in data engineering and analytics Closely partner with the Enterprise Data and Analytics Platform team, other functional data teams and Data Community lead to shape and adopt data and technology strategy. Accountable for evaluating Data enhancements and initiatives, assessing capacity and prioritization along with onshore and vendor teams. Knowledgeable in evolving trends in Data platforms and Product based implementation Manage and provide guidance for the data engineers supporting projects, enhancements, and break/fix efforts. Has end-to-end ownership mindset in driving initiatives through completion Comfortable working in a fast-paced environment with minimal oversight Mentors and provide career guidance to other team members effectively to unlock full potential. Prior experience working in an Agile/Product based environment. Provides strategic feedback to vendors on service delivery and balances workload with vendor teams. Qualifications & Experience Hands-on experience working on implementing and operating data capabilities and cutting-edge data solutions, preferably in a cloud environment. Breadth of experience in technology capabilities that span the full life cycle of data management including data lakehouses, master/reference data management, data quality and analytics/AI ML is needed. Ability to craft and architect data solutions, automation pipelines to productionize solutions. Hands-on experience developing and delivering data, ETL solutions with some of the technologies like AWS data services (Glue, Redshift, Athena, lakeformation, etc.). Cloudera Data Platform, Tableau labs is a plus. Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Strong programming skills in languages such as Python, PySpark, R, PyTorch, Pandas, Scala etc. Experience with SQL and database technologies such as MySQL, PostgreSQL, Presto, etc. Experience with cloud-based data technologies such as AWS, Azure, or GCP (Preferably strong in AWS) Strong analytical and problem-solving skills Excellent communication and collaboration skills Functional knowledge or prior experience in Lifesciences Research and Development domain is a plus Experience and expertise in establishing agile and product-oriented teams that work effectively with teams in US and other global BMS site. Initiates challenging opportunities that build strong capabilities for self and team Demonstrates a focus on improving processes, structures, and knowledge within the team. Leads in analyzing current states, deliver strong recommendations in understanding complexity in the environment, and the ability to execute to bring complex solutions to completion. AWS Data Engineering/Analytics certification is a plus. If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us . Summary: As a Data Engineer based out of our BMS Hyderabad you are part of the Data Platform team along with supporting the larger Data Engineering community, that delivers data and analytics capabilities for Data Platforms and Data Engineering Community. The ideal candidate will have a strong background in data engineering, DataOps, cloud native services, and will be comfortable working with both structured and unstructured data. Key Responsibilities The Data Engineer will be responsible for developing and maintaining ETL/ELT pipelines for ingesting data from various sources into our data warehouse. Work with an end-to-end ownership mindset, innovate and drive initiatives through completion. Optimize data storage and retrieval to ensure efficient performance and scalability Collaborate with data architects, data analysts and data scientists to understand their data needs and ensure that the data infrastructure supports their requirements Ensure data quality and integrity through data validation and testing Implement and maintain security protocols to protect sensitive data Stay up-to-date with emerging trends and technologies in data engineering and analytics Closely partner with the Enterprise Data and Analytics Platform team, other functional data teams and Data Community lead to enable adoption of data and technology strategy. Knowledgeable in evolving trends in Data platforms and Product based implementation Comfortable working in a fast-paced environment with minimal oversight Prior experience working in an Agile/Product based environment. Qualifications & Experience 2-3 years of hands-on experience working on implementing and operating data capabilities and cutting-edge data solutions, preferably in AWS cloud environment. Breadth of experience in technology capabilities that span the full life cycle of data management including data lakehouses, master/reference data management, data quality and analytics/AI ML is needed. In-depth experience with AWS Glue service and data engineering ecosystem on AWS. Hands-on experience developing and delivering data, ETL solutions with some of the technologies like AWS data services ( Redshift, Athena, lakeformation, etc.), Cloudera Data Platform, Tableau labs is a plus Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Strong programming skills in languages such as Python, PySpark, Pandas, Scala etc. Experience with SQL and database technologies such as MySQL, PostgreSQL, Presto, etc. Experience with cloud-based data technologies such as AWS, Azure, or Google Cloud Platform Strong analytical and problem-solving skills Excellent communication and collaboration skills Functional knowledge or prior experience in Lifesciences Research and Development domain is a plus If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

We are seeking a Senior Manager / Cloud Infrastructure Architect with deep expertise in Azure and/or GCP, and a strategic understanding of multi-cloud environments. You will lead the design, implementation, and optimization of cloud platforms that power data-driven, AI/GenAI-enabled enterprises. You will drive engagements focused on platform modernization, infrastructure-as-code, DevSecOps, and security-first architectures — aligning with business goals across Fortune 500 and mid-size clients. Key Responsibilities: Cloud Strategy & Architecture Shape and lead enterprise-grade cloud transformation initiatives across Azure, GCP, and hybrid environments. Advise clients on cloud-native, multi-cloud, and hybrid architectures aligned to performance, scalability, cost, and compliance goals. Architect data platforms, Lakehouses, and AI-ready infrastructure leveraging cloud-native services. AI & Data Infrastructure Enablement Design and deploy scalable cloud platforms to support Generative AI, LLM workloads, and advanced analytics. Implement data mesh and lakehouse patterns on cloud using services like Azure Synapse, GCP BigQuery, Databricks, Vertex AI, etc. Required Skills & Experience: 10+ years in cloud, DevOps, or infrastructure roles, with at least 4+ years as a cloud architect or platform engineering leader. Deep knowledge of Azure or GCP services, architecture patterns, and platform ops; multi-cloud experience is a strong plus. Proven experience with Terraform, Terragrunt, CI/CD (Azure DevOps, GitHub Actions, Cloud Build), and Kubernetes. Exposure to AI/ML/GenAI infra needs (GPU setup, MLOps, hybrid clusters, etc.) Familiarity with data platform tools: Azure Synapse, Databricks, BigQuery, Delta Lake, etc. Hands-on with security tools like Vault, Key Vault, Secrets Manager, and governance via policies/IAM. Excellent communication and stakeholder management skills. Preferred Qualifications: Certifications: Azure Solutions Architect Expert, GCP Professional Cloud Architect, Terraform Associate Experience working in AI, Data Science, or Analytics-led organizations or consulting firms. Background in leading engagements in regulated industries (finance, healthcare, retail, etc.) Key Skill: Landing Zone patterns, Data - Data landing zone. Multi-cloud Databricks, Snowflake, Dataproc, Bigquery, Azure HDInsights, AWS Redshift, EMR AI - GenAI platforms, AI Foundry, AWS Bedrock, AWS Sagemaker, GCP Vertex AI. Security. Scalability, Cloud agnostic, Cost efficient, Multi-cloud architecture. Job Type: Full-time Pay: ₹4,200,000.00 - ₹4,900,000.00 per year Schedule: Day shift Work Location: In person

Are you excited by the prospect of wrangling data, helping develop information systems/sources/tools, and shaping the way businesses make decisions? The Go-To-Markets Data Analytics team is looking for a skilled Senior Data Engineer who is motivated to deliver top notch data-engineering solutions to support business intelligence, data science, and self-service data solutions. About the Role: In this role as a Senior Data Engineer, you will: Design, develop, optimize, and automate data pipelines that blend and transform data across different sources to help drive business intelligence, data science, and self-service data solutions. Work closely with data scientists and data visualization teams to understand data requirements to ensure the availability of high-quality data for analytics, modelling, and reporting. Build pipelines that source, transform, and load data that’s both structured and unstructured keeping in mind data security and access controls. Explore large volumes of data with curiosity and conviction. Contribute to the strategy and architecture of data management systems and solutions. Proactively troubleshoot and resolve data-related and performance bottlenecks in a timely manner. Be open to learning and working on emerging technologies in the data engineering, data science and cloud computing space. Have the curiosity to interrogate data, conduct independent research, utilize various techniques, and tackle ambiguous problems. Shift Timings: 12 PM to 9 PM (IST) Work from office for 2 days in a week (Mandatory) About You You’re a fit for the role of Senior Data Engineer, if your background includes: Must have at least 6-7 years of total work experience with at least 3+ years in data engineering or analytics domains. Graduates in data analytics, data science, computer science, software engineering or other data centric disciplines. SQL Proficiency a must. Experience with data pipeline and transformation tools such as dbt, Glue, FiveTran, Alteryx or similar solutions. Experience using cloud-based data warehouse solutions such as Snowflake, Redshift, Azure. Experience with orchestration tools like Airflow or Dagster. Preferred experience using Amazon Web Services (S3, Glue, Athena, Quick sight). Data modelling knowledge of various schemas like snowflake and star. Has built data pipelines and other custom automated solutions to speed the ingestion, analysis, and visualization of large volumes of data. Knowledge building ETL workflows, database design, and query optimization. Has experience of a scripting language like Python. Works well within a team and collaborates with colleagues across domains and geographies. Excellent oral, written, and visual communication skills. Has a demonstrable ability to assimilate new information thoroughly and quickly. Strong logical and scientific approach to problem-solving. Can articulate complex results in a simple and concise manner to all levels within the organization. #LI-GS2 What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Bengaluru, Karnataka Job ID 30185740 Job Category Digital Technology Role : SQL developer with Data modeling and AWS/Azure Location: Bangalore Full/ Part-time: Full Time. Build a career with confidence: Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do. About the Role: Looking for SQL Developer with ETL background and AWS OR Azure cloud platform experience. Job Description: Design, develop, and implement scalable and efficient data warehouse solutions on cloud platforms using Azure Fabric, AWS Redshift etc, Create and optimize data models to support business reporting and analytical needs. Integration using ETL Tools like Azure Data Factory etc. Write complex SQL queries, stored procedures, and functions for data manipulation and analysis. Implement data quality checks and validation processes to ensure data accuracy and integrity. Monitor and optimize data warehouse performance, including query tuning, indexing, and data partitioning strategies. Identify and troubleshoot data-related issues, ensuring data availability and reliability. Collaborate with data architects, data engineers, business analysts, and other stakeholders to understand data requirements and translate them into technical solutions. Analytical Skills: Strong problem-solving, analytical, and critical thinking skills. Preferred Skills & Tools for this role are: Experience of 7 to 10 years in the below mentioned skill sets Cloud Platforms: Azure (Data Factory, Azure Fabric, SQL DB, Data Lake), AWS (RedShift)—Any Azure tools OR AWS Databases: Postgres SQL OR MSSQL ETL Tools: Azure Data Factory OR Any ETL Tool Experience.- Languages: Expert level proficiency in T-SQL, Python.—TSQL AND PYTHON BI Tools: Power BI or similar—POWERBI OR TABLEAU OR SPOTFIRE Version Control & DevOps: Azure DevOps, Git.—any of these is preferred Benefits: We are committed to offering competitive benefits programs for all our employees and enhancing our programs when necessary. Make yourself a priority with flexible schedules, parental leave. Drive forward your career through professional development opportunities. Achieve your personal goals with our Employee Assistance Programme. Our commitment to you: Our greatest assets are the expertise, creativity, and passion of our employees. We strive to provide a great place to work that attracts, develops, and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback, and always challenging ourselves to do better. This is The Carrier Way. Join us and make a difference. Now! Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Join Kyndryl as a Data Analyst where you will unlock the power of data to drive strategic decisions and shape the future of our business. As a key member of our team, you will harness your expertise in basic statistics, business fundamentals, and communication to uncover valuable insights and transform raw data into rigorous visualizations and compelling stories. In this role, you will have the opportunity to work closely with our customers as part of a top-notch team. You will dive deep into vast IT datasets, unraveling the mysteries hidden within, and discovering trends and patterns that will revolutionize our customers' understanding of their own landscapes. Armed with your advanced analytical skills, you will draw compelling conclusions and develop data-driven insights that will directly impact their decision-making processes. Your role goes beyond traditional data analysis. You will be a trusted advisor, utilizing your domain expertise, critical thinking, and consulting skills to unravel complex business problems and translate them into innovative solutions. Your proficiency in cutting-edge software tools and technologies will empower you to gather, explore, and prepare data – ensuring it is primed for analysis, business intelligence, and insightful visualizations. Collaboration will be at the heart of your work. As a Data Analyst at Kyndryl, you will collaborate closely with cross-functional teams, pooling together your collective expertise to gather, structure, organize, and clean data. Together, we will ensure the data is in its finest form, ready to deliver actionable insights. Your unique ability to communicate and empathize with stakeholders will be invaluable. By understanding the business objectives and success criteria of each project, you will align your data analysis efforts seamlessly with our overarching goals. With your mastery of business valuation, decision-making, project scoping, and storytelling, you will transform data into meaningful narratives that drive real-world impact. At Kyndryl, we believe that data holds immense potential, and we are committed to helping you unlock that potential. You will have access to vast repositories of data, empowering you to delve deep to determine root causes of defects and variation. By gaining a comprehensive understanding of the data and its specific purpose, you will be at the forefront of driving innovation and making a difference. If you are ready to unleash your analytical ability, collaborate with industry experts, and shape the future of data-driven decision making, then join us as a Data Analyst at Kyndryl. Together, we will harness the power of data to redefine what is possible and create a future filled with limitless possibilities. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Key Responsibilities: Design and develop interactive dashboards and reports using tools like Power BI , Tableau , or Looker . Build and maintain ETL/ELT pipelines to support analytics and reporting use cases. Work with stakeholders to gather business requirements and translate them into technical specifications. Perform data modeling (star/snowflake schemas), data wrangling , and transformation . Ensure data quality , accuracy , and integrity across reporting layers. Collaborate with Data Architects, Analysts, and Engineers to design and implement data solutions that scale. Automate report generation, data refreshes, and alerting workflows. Maintain version control, CI/CD practices, and documentation for dashboards and data pipelines. Technical Skills Required: Required overall 7 to 10 years experience and 5 years Strong experience with BI tools : Power BI, Tableau, or similar Proficiency in SQL for data querying and transformations. Hands-on experience with ETL tools (e.g., Azure Data Factory, SSIS, Talend, dbt) Experience with data warehouses (e.g., Snowflake, Azure Synapse, BigQuery, Redshift) Programming/scripting knowledge in Python or PySpark (for data wrangling or pipeline development) Familiarity with cloud platforms : Azure, AWS, or GCP (Azure preferred) Understanding of data governance , security , and role-based access control (RBAC) Preferred Qualifications: Experience with CI/CD tools (e.g., GitHub Actions, Azure DevOps) Exposure to data lake architectures , real-time analytics, and streaming data (Kafka, Event Hub, etc.) Knowledge of DAX , MDX , or custom scripting for BI calculations Cloud certifications (e.g., Azure Data Engineer, AWS Data Analytics). Soft Skills: Strong analytical mindset and attention to detail Effective communication and stakeholder management skills Ability to manage multiple tasks and priorities in fast-paced environments Self-starter with a proactive problem-solving approach Preferred Skills and Experience Degree in a quantitative discipline, such as industrial engineering, finance, or economics Knowledge of data analysis tools and programming languages (e.g. Looker, Power BI, QuickSight, BigQuery, Azure Synapse, Python, R, or SQL) Professional certification, e.g., ASQ Six Sigma Cloud platform certification, e.g., AWS Certified Data Analytics – Specialty, Google Cloud Looker Business Analyst, or Microsoft Certified: Power BI Data Analyst Associate Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

Are you excited by the prospect of wrangling data, helping develop information systems/sources/tools, and shaping the way businesses make decisions? The Go-To-Markets Data Analytics team is looking for a skilled Data Engineer who is motivated to deliver top notch data-engineering solutions to support business intelligence, data science, and self-service data solutions. About the Role: In this role as a Data Engineer, you will: Design, develop, optimize, and automate data pipelines that blend and transform data across different sources to help drive business intelligence, data science, and self-service data solutions. Work closely with data scientists and data visualization teams to understand data requirements to ensure the availability of high-quality data for analytics, modelling, and reporting. Build pipelines that source, transform, and load data that’s both structured and unstructured keeping in mind data security and access controls. Explore large volumes of data with curiosity and conviction. Contribute to the strategy and architecture of data management systems and solutions. Proactively troubleshoot and resolve data-related and performance bottlenecks in a timely manner. Be open to learning and working on emerging technologies in the data engineering, data science and cloud computing space. Have the curiosity to interrogate data, conduct independent research, utilize various techniques, and tackle ambiguous problems. Shift Timings: 12 PM to 9 PM (IST) Work from office for 2 days in a week (Mandatory) About You You’re a fit for the role of Data Engineer, if your background includes: Must have at least 4-6 years of total work experience with at least 2+ years in data engineering or analytics domains. Graduates in data analytics, data science, computer science, software engineering or other data centric disciplines. SQL Proficiency a must. Experience with data pipeline and transformation tools such as dbt, Glue, FiveTran, Alteryx or similar solutions. Experience using cloud-based data warehouse solutions such as Snowflake, Redshift, Azure. Experience with orchestration tools like Airflow or Dagster. Preferred experience using Amazon Web Services (S3, Glue, Athena, Quick sight). Data modelling knowledge of various schemas like snowflake and star. Has built data pipelines and other custom automated solutions to speed the ingestion, analysis, and visualization of large volumes of data. Knowledge building ETL workflows, database design, and query optimization. Has experience of a scripting language like Python. Works well within a team and collaborates with colleagues across domains and geographies. Excellent oral, written, and visual communication skills. Has a demonstrable ability to assimilate new information thoroughly and quickly. Strong logical and scientific approach to problem-solving. Can articulate complex results in a simple and concise manner to all levels within the organization. #LI-GS2 What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Company Description At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Job Description About the Role Nielsen is seeking an organized, detail oriented, team player, to join the ITAM Back Office Engineering team in the role of Software Engineer. Nielsen’s Audience Measurement Engineering platforms support the measurement of television viewing in more than 30 countries around the world. Ideal candidates will have exceptional skills in programming, testing, debugging and problem solving as well as effective communication and writing skills. Qualifications Responsibilities System Deployment: Conceive, design and build new features in the existing backend processing pipelines. CI/CD Implementation: Design and implement CI/CD pipelines for automated build, test, and deployment processes. Ensure continuous integration and delivery of features, improvements, and bug fixes. Code Quality and Best Practices: Enforce coding standards, best practices, and design principles. Conduct code reviews and provide constructive feedback to maintain high code quality. Performance Optimization: Identify and address performance bottlenecks in both reading, processing and writing data to the backend data stores. Mentorship and Collaboration: Mentor junior engineers, providing guidance on technical aspects and best practices. Collaborate with cross-functional teams to ensure a cohesive and unified approach to software development. Security and Compliance: Implement security best practices for all tiers of the system. Ensure compliance with industry standards and regulations related to AWS platform security. Key Skills Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related field. Proven experience, minimum 3 years, in high-volume data processing development expertise using ETL tools such as AWS Glue or PySpark, Java, SQL and databases such as Postgres Minimum 2 years development on an AWS platform Strong understanding of CI/CD principles and tools. GitLab a plus Excellent problem-solving and debugging skills. Strong communication and collaboration skills with ability to communicate complex technical concepts and align organization on decisions Sound problem-solving skills with the ability to quickly process complex information and present it clearly and simply Utilizes team collaboration to create innovative solutions efficiently Other desirable skills Knowledge of networking principles and security best practices. AWS certifications Experience with Data Warehouses, ETL, and/or Data Lakes very desirable Experience with RedShift, Airflow, Python, Lambda, Prometheus, Grafana, & OpsGeni a bonus Exposure to the Google Cloud Platform (GCP) Additional Information Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Lead- Software Engineer Python A Senior Software Engineer Python is a professional with extensive experience and expertise in Python programming language. They are responsible for designing, developing, and maintaining high-quality software applications using Python and related frameworks. Role and Responsibilities: R&D on new technologies to solve problems in innovative product Build new and efficient python libraries rather than using the libraries Should be working on a start-up mode Help building SaaS-based Data Fabric and Data Mesh platform that allows companies to seamlessly access, integrate, model, analyze, provision and monetize data. Must build the product from scratch Design, develop, and maintain robust and scalable software applications using Python and related technologies. Collaborate with cross-functional teams, including product managers, designers, and other developers, to define project requirements and deliver high-quality solutions. Conduct code reviews and ensure adherence to coding best practices and established development standards. Analyze and optimize application performance, identifying and resolving bottlenecks and inefficiencies. Stay up-to-date with industry trends and advancements in Python and related technologies, recommending and implementing new tools and frameworks as appropriate. Collaborate with the DevOps team to automate build, deployment, and testing processes. Technical Skills 6+ years of extensive experience in Python Programming language. Good knowledge in Python libraries - Flask, pandas, NumPy etc. Hands on experience in building microservices applications on AWS/GCP/Azure. Strong knowledge of software development principles, best practices, and design patterns. Good understanding of platforms (Kubernetes, Docker, AWS) Must have solved problems using complex algorithms and data structures Must have a good understanding of Data Structures/Algorithms/Databases like PostgreSQL Knowledge in redshift, snowflake would be added advantage Experience writing APIs and related technologies like REST, JSON etc. Design, Implement and Deploy scalable backend applications on cloud Strong knowledge of software development principles, best practices, and design patterns. Experience with version control systems, such as Git, and collaborative development workflows. Soft Skills Solid understanding of software testing methodologies and experience with unit testing and integration testing. Excellent problem-solving and analytical skills, with the ability to quickly identify and resolve issues. Strong communication skills, both written and verbal, with the ability to effectively collaborate with team members. Leadership skills and the ability to mentor and guide junior developers. u may want to include are Skills, Education, Experience, or Certifications.] Example: Excellent verbal and written communication skills

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Cloud Data Engineer (AWS) To qualify for the role, you must have Excellent academic background, including at a minimum a bachelor/master’s degree in, Engineering, Computer Science, or other related field with strong quantitative focus. 6+ years of working experience with particular focus on the following: Collaborates with Business team to improve data models as per Business Intelligence reporting tools by increasing data accessibility and fostering data driven decision making across organization. Build Data Pipelines that ingest, clean, transform and aggregate data from disparate sources using AWS Data Flow. Amazon S3: Data storage, partitioning, and lifecycle policies. AWS Glue: ETL development, Glue Studio, and Glue Data Catalog. Amazon Redshift: Data warehousing, Redshift Spectrum, and performance tuning. Amazon Athena: Serverless querying of S3 data using SQL. Amazon Kinesis / MSK: Real-time data streaming and ingestion. AWS Lambda: Serverless data processing and orchestration. AWS Step Functions: Workflow orchestration for data pipelines. IAM: Fine-grained access control and security best practices. Snowflake SQL: Advanced querying, window functions, and stored procedures. Data Loading/Unloading: Using COPY INTO from S3 and external stages. Snowpipe: Real-time data ingestion from AWS S3. Streams & Tasks: For change data capture (CDC) and automation. Time Travel & Cloning: For data recovery and testing. Performance Tuning: Query profiling, clustering keys, and warehouse sizing. Build reliable, highly scalable, and highly performing applications for data analytics on AWS Develop data strategy for long term data platform architecture by working closely with Business units. Good to have Software development experiences in Python Angular Front end Skills Experience in Advanced Data Visualization tools, such as Tableau, Power BI for integration between disparate data sources, design and implementation of KPIs and generation of automatic and scalable visualizations that will facilitate extraction of business insights. SoftSkills Strong communication, presentation, client service and technical writing skills in English for both technical and business audiences. Strong analytical, problem solving and critical thinking skills. Ability to work under tight timelines for multiple project deliveries. Ability/flexibility to travel and work abroad for international projects. Roles and Responsibilities: Understand existing application architecture and solution design Design individual components and develop the components Work with other architects, team members in an agile scrum environment Hands on development Design and develop applications that can be hosted on Azure or AWS cloud Design and develop framework and core functionality Research and Innovate new concepts in Data engineering on Azure or AWS Understand enterprise application design framework and processes Review code and establish best practices Look out for latest technologies and match up with EY use case and solve business problems efficiently EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Staff Technical Product Manager Are you excited about the opportunity to lead a team within an industry leader in Energy Technology? Are you passionate about improving capabilities, efficiency and performance? Join our Digital Technology Team! As a Staff Technical Product Manager, this position will operate in lock-step with product management to create a clear strategic direction for build needs, and convey that vision to the service’s scrum team. You will direct the team with a clear and descriptive set of requirements captured as stories and partner with the team to determine what can be delivered through balancing the need for new features, defects, and technical debt.. Partner with the best As a Staff Technical Product Manager, we are seeking a strong background in business analysis, team leadership, and data architecture and hands-on development skills. The ideal candidate will excel in creating roadmap, planning with prioritization, resource allocation, key item delivery, and seamless integration of perspectives from various stakeholders, including Product Managers, Technical Anchors, Service Owners, and Developers. Results - oriented leader, and capable of building and executing an aligned strategy leading data team and cross functional teams to meet deliverable timelines. As a Staff Technical Product Manager, you will be responsible for: Demonstrating wide and deep knowledge in data engineering, data architecture, and data science. Ability to guide, lead, and work with the team to drive to the right solution Engaging frequently (80%) with the development team; facilitate discussions, provide clarification, story acceptance and refinement, testing and validation; contribute to design activities and decisions; familiar with waterfall, Agile scrum framework; Owning and manage the backlog; continuously order and prioritize to ensure that 1-2 sprints/iterations of backlog are always ready. Collaborating with UX in design decisions, demonstrating deep understanding of technology stack and impact on final product. Conducting customer and stakeholder interviews and elaborate on personas. Demonstrating expert-level skill in problem decomposition and ability to navigate through ambiguity. Partnering with the Service Owner to ensure a healthy development process and clear tracking metric to form standard and trustworthy way of providing customer support Designing and implementing scalable and robust data pipelines to collect, process, and store data from various sources. Developing and maintaining data warehouse and ETL (Extract, Transform, Load) processes for data integration and transformation. Optimizing and tuning the performance of data systems to ensure efficient data processing and analysis. Collaborating with product managers and analysts to understand data requirements and implement solutions for data modeling and analysis. Identifying and resolving data quality issues, ensuring data accuracy, consistency, and completeness Implementing and maintaining data governance and security measures to protect sensitive data. Monitoring and troubleshoot data infrastructure, perform root cause analysis, and implement necessary fixes. Fuel your passion: To be successful in this role you will require: Have a Bachelor's or higher degree in Computer Science, Information Systems, or a related field. Have minimum 6-10 years of proven experience as a Data Engineer or similar role, working with large-scale data processing and storage systems. Have Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, or Oracle). Have Extensive knowledge working with SAP systems, Tcode, data pipelines in SAP, Databricks related technologies. Have Experience with building complex jobs for building SCD type mappings using ETL tools like PySpark, Talend, Informatica, etc. Have Experience with data visualization and reporting tools (e.g., Tableau, Power BI). Have Strong problem-solving and analytical skills, with the ability to handle complex data challenges. Have Excellent communication and collaboration skills to work effectively in a team environment. Have Experience in data modeling, data warehousing, and ETL principles. Have familiarity with cloud platforms like AWS, Azure, or GCP, and their data services (e.g., S3, Redshift, BigQuery). Have advanced knowledge of distributed computing and parallel processing. Experience with real-time data processing and streaming technologies (e.g., Apache Kafka, Apache Flink). Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes). Certification in relevant technologies or data engineering disciplines. Having working knowledge in Databricks, Dremio, and SAP is highly preferred. Work in a way that works for you We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns (where applicable): Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working with us Our people are at the heart of what we do at Baker Hughes. We know we are better when all our people are developed, engaged, and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent, and develop leaders at all levels to bring out the best in each other. Working for you Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we must push the boundaries today. We prioritize rewarding those who embrace challenge with a package that reflects how much we value their input. Join us, and you can expect: Contemporary work-life balance policies and wellbeing activities. About Us With operations in over 120 countries, we provide better solutions for our customers and richer opportunities for our people. As a leading partner to the energy industry, we're committed to achieving net-zero carbon emissions by 2050 and we're always looking for the right people to help us get there. People who are as passionate as we are about making energy safer, cleaner, and more efficient. Join Us Are you seeking an opportunity to make a real difference in a company with a global reach and exciting services and clients? Come join us and grow with a team of people who will challenge and inspire you! About Us: We are an energy technology company that provides solutions to energy and industrial customers worldwide. Built on a century of experience and conducting business in over 120 countries, our innovative technologies and services are taking energy forward – making it safer, cleaner and more efficient for people and the planet. Join Us: Are you seeking an opportunity to make a real difference in a company that values innovation and progress? Join us and become part of a team of people who will challenge and inspire you! Let’s come together and take energy forward. Baker Hughes Company is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. R147951

We are seeking a highly skilled Lead Data Engineer/Associate Architect to lead the design, implementation, and optimization of scalable data architectures. The ideal candidate will have a deep understanding of data modeling, ETL processes, cloud data solutions, and big data technologies. You will work closely with cross-functional teams to build robust, high-performance data pipelines and infrastructure to enable data-driven decision-making. Experience: 7 - 12 years Work Location: Hyderabad (Hybrid) / Remote Mandatory skills: Python, SQL, Snowflake Responsibilities Design and Develop scalable and resilient data architectures that support business needs, analytics, and AI/ML workloads. Data Pipeline Development: Design and implement robust ETL/ELT processes to ensure efficient data ingestion, transformation, and storage. Big Data & Cloud Solutions: Architect data solutions using cloud platforms like AWS, Azure, or GCP, leveraging services such as Snowflake, Redshift, BigQuery, and Databricks. Database Optimization: Ensure performance tuning, indexing strategies, and query optimization for relational and NoSQL databases. Data Governance & Security: Implement best practices for data quality, metadata management, compliance (GDPR, CCPA), and security. Collaboration & Leadership: Work closely with data engineers, analysts, and business stakeholders to translate business requirements into scalable solutions. Technology Evaluation: Stay updated with emerging trends, assess new tools and frameworks, and drive innovation in data engineering. Required Skills Education: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Experience: 7 - 12+ years of experience in data engineering Cloud Platforms: Strong expertise in AWS/Azure data services. Databases: Hands-on experience with SQL, NoSQL, and columnar databases such as PostgreSQL, MongoDB, Cassandra, and Snowflake. Programming: Proficiency in Python, Scala, or Java for data processing and automation. ETL Tools: Experience with tools like Apache Airflow, Talend, DBT, or Informatica. Machine Learning & AI Integration (Preferred): Understanding of how to architect data solutions for AI/ML applications Skills: scala,etl,java,mongodb,sql,python,talend,gcp,data engineering,elt,azure,cloud,snowflake,postgresql,aws,apache airflow,cassandra,informatica,dbt

Software Engineer – Full Stack Developer Skills To be successful in this role as a Full Stack Development “Software Engineer – OSS Platform Engineering", you should possess the following skillsets: Demonstrable expertise with front-end and back-end skillsets. Java Proficiency (Java 17+) and Spring Ecosystem (Spring MVC, Data JPA, Security etc) with strong SQL and NoSQL integration expertise. React.js and javascript expertise : material UI, Ant design and state management expertise (Redus, Zustand or Context API). Strong knowledge of runtime (virtualisation, containers and Kubernetes) and expertise with test driven development using frameworks like cypress, playwright, selenium etc. Strong knowledge of CI/CD pipelines and tooling : Github Actions, Jenkins, Gitlab CI or similar. Monitoring and Observability - logging/tracing and alerting with knowledge of SRE integrations into opensource tooling like grafana/ELK etc. Some Other Highly Valued Skills Include Expertise building ELT pipelines and cloud/storage integrations - data lake/warehouse integrations (redshift, BigQuery, snowflake etc). Expertise with security (OAuth2, CSRF/XSS protection), secure coding practice and Performance Optimization - JVM tuning, performance profiling, caching, lazy loading, rate limiting and high availability in large datasets. Expertise in Public, Private and Hybrid Cloud technologies (DC, AWS, Azure, GCP etc) and across broad Network domains (physical and wireless) - WAN/SD-WAN/LAN/WLAN etc. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in our Pune office.

Staff Technical Product Manager Are you excited about the opportunity to lead a team within an industry leader in Energy Technology? Are you passionate about improving capabilities, efficiency and performance? Join our Digital Technology Team! As a Staff Technical Product Manager, this position will operate in lock-step with product management to create a clear strategic direction for build needs, and convey that vision to the service’s scrum team. You will direct the team with a clear and descriptive set of requirements captured as stories and partner with the team to determine what can be delivered through balancing the need for new features, defects, and technical debt.. Partner with the best As a Staff Technical Product Manager, we are seeking a strong background in business analysis, team leadership, and data architecture and hands-on development skills. The ideal candidate will excel in creating roadmap, planning with prioritization, resource allocation, key item delivery, and seamless integration of perspectives from various stakeholders, including Product Managers, Technical Anchors, Service Owners, and Developers. Results - oriented leader, and capable of building and executing an aligned strategy leading data team and cross functional teams to meet deliverable timelines. As a Staff Technical Product Manager, you will be responsible for: Demonstrating wide and deep knowledge in data engineering, data architecture, and data science. Ability to guide, lead, and work with the team to drive to the right solution Engaging frequently (80%) with the development team; facilitate discussions, provide clarification, story acceptance and refinement, testing and validation; contribute to design activities and decisions; familiar with waterfall, Agile scrum framework; Owning and manage the backlog; continuously order and prioritize to ensure that 1-2 sprints/iterations of backlog are always ready. Collaborating with UX in design decisions, demonstrating deep understanding of technology stack and impact on final product. Conducting customer and stakeholder interviews and elaborate on personas. Demonstrating expert-level skill in problem decomposition and ability to navigate through ambiguity. Partnering with the Service Owner to ensure a healthy development process and clear tracking metric to form standard and trustworthy way of providing customer support Designing and implementing scalable and robust data pipelines to collect, process, and store data from various sources. Developing and maintaining data warehouse and ETL (Extract, Transform, Load) processes for data integration and transformation. Optimizing and tuning the performance of data systems to ensure efficient data processing and analysis. Collaborating with product managers and analysts to understand data requirements and implement solutions for data modeling and analysis. Identifying and resolving data quality issues, ensuring data accuracy, consistency, and completeness Implementing and maintaining data governance and security measures to protect sensitive data. Monitoring and troubleshoot data infrastructure, perform root cause analysis, and implement necessary fixes. Fuel your passion: To be successful in this role you will require: Have a Bachelor's or higher degree in Computer Science, Information Systems, or a related field. Have minimum 6-10 years of proven experience as a Data Engineer or similar role, working with large-scale data processing and storage systems. Have Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, or Oracle). Have Extensive knowledge working with SAP systems, Tcode, data pipelines in SAP, Databricks related technologies. Have Experience with building complex jobs for building SCD type mappings using ETL tools like PySpark, Talend, Informatica, etc. Have Experience with data visualization and reporting tools (e.g., Tableau, Power BI). Have Strong problem-solving and analytical skills, with the ability to handle complex data challenges. Have Excellent communication and collaboration skills to work effectively in a team environment. Have Experience in data modeling, data warehousing, and ETL principles. Have familiarity with cloud platforms like AWS, Azure, or GCP, and their data services (e.g., S3, Redshift, BigQuery). Have advanced knowledge of distributed computing and parallel processing. Experience with real-time data processing and streaming technologies (e.g., Apache Kafka, Apache Flink). Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes). Certification in relevant technologies or data engineering disciplines. Having working knowledge in Databricks, Dremio, and SAP is highly preferred. Work in a way that works for you We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns (where applicable): Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working with us Our people are at the heart of what we do at Baker Hughes. We know we are better when all our people are developed, engaged, and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent, and develop leaders at all levels to bring out the best in each other. Working for you Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we must push the boundaries today. We prioritize rewarding those who embrace challenge with a package that reflects how much we value their input. Join us, and you can expect: Contemporary work-life balance policies and wellbeing activities. About Us With operations in over 120 countries, we provide better solutions for our customers and richer opportunities for our people. As a leading partner to the energy industry, we're committed to achieving net-zero carbon emissions by 2050 and we're always looking for the right people to help us get there. People who are as passionate as we are about making energy safer, cleaner, and more efficient. Join Us Are you seeking an opportunity to make a real difference in a company with a global reach and exciting services and clients? Come join us and grow with a team of people who will challenge and inspire you! About Us: We are an energy technology company that provides solutions to energy and industrial customers worldwide. Built on a century of experience and conducting business in over 120 countries, our innovative technologies and services are taking energy forward – making it safer, cleaner and more efficient for people and the planet. Join Us: Are you seeking an opportunity to make a real difference in a company that values innovation and progress? Join us and become part of a team of people who will challenge and inspire you! Let’s come together and take energy forward. Baker Hughes Company is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. R147951