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

The Data Solutions Engineer - II , Enabling Functions Data responsible for designing, developing and operations support/maintaining the data assets and data products, evolution of the datasets and data products in the Enterprise Data lake supporting Enabling Functions ( HR, Finance, Law, Compliance, Procurement, etc).

The role will be accountable for developing the pipelines for the data enablement projects, production/application support and enhancements, and support data operations activities. Additional responsibilities include data analysis, data operations process and tools, data cataloguing, and developing data SME skills in their domain.

The ideal candidate will have a strong background in data engineering, and data systems/data products be comfortable working with both structured and unstructured data. Prior domain experience with enterprise functions (HR/ Finance/ Compliance/ Procurement) is a big plus.

Desired Candidate Characteristics and Key Responsibilities:

• Accountable for enhancing and delivering high quality, data products and analytic ready data solutions for Enabling Functions
• Collaborate with data architects, data analysts and data scientists to understand their data needs and ensure that the data infrastructure supports their requirements.
• Implement and maintain security protocols to protect sensitive data
• Participate in the analysis, design, build, manage, and operate lifecycle of the enterprise data lake and analytics focused digital capabilities
• Develop cloud-based (AWS) data pipelines to facilitate data processing and analysis
• Build end to end data ETL pipelines from data integration -> data processing -> data integration -> visualization
• Familiarity and experience with Cloud infrastructure management and work closely with the Cloud engineering team as well as EF data SME’s
• Participate in effort and cost estimations when required
• Partner with other data, platform, and cloud teams to identify opportunities for continuous improvements
• Responsible for maintaining of data acquisition/operational focused capabilities including: Data Catalog; User Access Request/Tracking; Data Use Request
• Comfortable working in a fast-paced environment with minimal oversight
• Prior experience working in an Agile/Product based environment.
• Partners with vendors on service delivery and balances workload with vendor teams and overall development delivery

Qualifications & Experience:

• 3-5 years of experience in information technology field in developing AWS cloud native data lakes and ecosystems including some production support experience
• Hands on experience with programming and analytics capabilities using some AWS (Amazon Web Services) Native Services (Glue Studio, Athena, Redshift, Postgres DB etc.) is required ; Cloudera Data Platform (CDP) is a plus
• Programming skills in languages such as Python, Pytorch, etc.
• Atleast 1-2 years of experience in an onshore offshore delivery model
• Solid programming skills in Python and Spark and strong proficiency in Cloud - AWS
• Knowledge of data security and privacy best practices
• Experience with SQL and database technologies such as MySQL, PostgreSQL etc.
• Comfortable working in a dynamic global environment
• Excellent communication and collaboration skills Functional knowledge or prior experience in Enterprise Functions is a plus.
• Demonstrates a focus on improving processes, structures, and knowledge within the team.
• Hands-on experience with Databricks Lakehouse architecture, Delta Lake, Unity Catalog, and Databricks Workflows for building and managing scalable data pipelines.
• Strong experience in Databricks development and optimization, including PySpark/SQL, cluster and job configuration, performance tuning, and implementing production-grade data pipelines.

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 [email protected]. 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.

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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.

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