Data Engineer

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

Position Summary

At BMS, digital innovation and Information Technology are central to our vision of transforming patients’ lives through science. To accelerate our ability to serve patients around the world, we must unleash the power of technology.  We are committed to being at the forefront of transforming the way medicine is made and delivered by harnessing the power of computer and data science, artificial intelligence, and other technologies to promote scientific discovery, faster decision making, and enhanced patient care. 

If you want an exciting and rewarding career that is meaningful, consider joining our diverse team!

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

·       Pipeline Engineering & Architecture:

o   Design and maintain robust ETL/ELT pipelines to ingest structured, semi-structured, and unstructured data into cloud lakehouses and data warehouses.

o   Develop and manage scalable batch workflows and low-latency, real-time streaming data ingestion pipelines.

o   Implement dimensional modeling, Slowly Changing Dimensions (SCD), and efficient lakehouse schemas for analytics.

·       Databricks Platform & Framework Development:

o   Build reusable frameworks and pipelines using Databricks Notebooks, Delta Live Tables (DLT), and Databricks Asset Bundles (DABs).

o   Configure and tune Databricks clusters and compute pools for optimal cost, concurrency, and performance.

o   Create and maintain metric views, business semantic models, and granular access control policies.

o   Contribute to Enterprise grade Engineering Frameworks created around Databricks platform & Push adoption.

·       AWS Cloud Integration & Automation:

o   Build decoupled architectures using core AWS services including S3, Lambda, EC2, Glue, Crawlers, SQS, SNS, Step Functions, Redshift, and Athena.

o   Automate infrastructure deployment using CloudFormation Templates (CFTs), custom resources, and GitHub Workflows.

o   Implement secure cloud networking including VPCs, subnets, route tables, and IAM policies.

o   Develop integration tasks and custom utilities using the AWS CLI and AWS SDK (Boto3).

·       Performance Optimization & Data Quality:

o   Optimize data layout, partitioning, and query execution across Redshift, Athena, and Delta Lake storage.

o   Establish automated data validation, schema enforcement, and data quality testing across all ingestion layers.

·       Ownership & Collaboration:

o   Take end-to-end ownership of data engineering initiatives from technical design to production delivery.

o   Partner closely with architects, analysts, and cross-functional teams in an Agile environment to support evolving data requirements.

Qualifications & Experience

·       Professional Experience:

o   3–6+ years of hands-on data engineering experience designing, implementing, and operating cloud-based data platforms.

·       Data Engineering & Modeling:

o   Expert-level proficiency in SQL, query optimization, complex transformations, and analytical data modeling.

o   Strong hands-on background with relational databases, NoSQL stores, and Slowly Changing Dimensions (SCD).

o   Extensive experience handling high-volume data, real-time streaming pipelines, and unstructured data ingestion.

·       Databricks & PySpark Expertise:

o   Strong hands-on experience building frameworks in Databricks using Notebooks, DLT, and Databricks Asset Bundles.

o   Proven skill in PySpark development, cluster configuration, performance tuning, and access control management.

·       AWS Ecosystem & Cloud Infrastructure:

o   In-depth knowledge of core AWS services: S3, Lambda, EC2, Glue, Crawlers, Redshift, Athena, SQS, SNS, and Step Functions.

o   Hands-on proficiency with CloudFormation (CFTs), custom resources, VPC/subnet networking, and IAM security.

o   Advanced scripting experience with Python, Boto3 SDK, AWS CLI, and automated GitHub CI/CD workflows.

·       Communication & Delivery:

o   Strong problem-solving skills with experience working collaboratively in fast-paced, Agile/product-based environments.

o   Initiates challenging opportunities that build strong capabilities for self and team

o   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.​

We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway.

How We Work

Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working.

Supporting People with Disabilities

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.

Candidate Rights

BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

For roles based in Los Angeles County only:  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/

For roles based in Washington State only: If you live in or expect to work from Washington State if hired for this position, please visit this page for important information about the Washington Fair Chance Act.

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

If this posting is missing required information required by local law or incorrect, contact BMS at TAEnablement@bms.com with the Job Title and Requisition number. Do not send application-related inquiries to this email. To check your application status, please login to your Candidate Home Account.

R1608386 : Data Engineer