Process Data Engineer I - Pharmaceutical Product Development

Biopharma Careers; Hyderabad; Hybrid; INR 120,000 - 180,000; Full time

Job summary

Bristol Myers Squibb in Hyderabad seeks an early-career Data Engineer to build data products for pharmaceutical product development. You will create datasets for molecular features, lab data, and manufacturing parameters, and develop scalable pipelines to support analytics, AI, and modelling across global teams.

You will transform raw data into trusted, model-ready assets, collaborate with scientists and engineers, and contribute to Databricks and cloud-native architectures while advocating data

Qualifications

• 2+ years of industry experience in data engineering.
• Hands-on with modern data technologies and cloud platforms.
• Experience with data products and AI/ML workflows.

Responsibilities

• Build scientific data products for product development datasets.
• Contribute to data structuring and contextualization initiatives.
• Develop and maintain scalable data pipelines for analytics, AI, and modelling.
• Transform raw data into trusted model-ready assets.
• Collaborate with scientists, analysts and engineers to improve data quality and access.
• Support Databricks, Data Fabric, and cloud-native architectures.
• Automate data workflows and promote engineering best practices.
• Develop reusable data assets for global Product Development.

Skills

SQL

Python

ETL/ELT Development

Delta Lake

Lakehouse Architecture

Medallion Architecture

Data Modelling

Data Warehousing

Distributed Computing

Data Validation

Databricks

dbt

AWS

Data Product Design

Vector Databases

Data Quality Engineering

Data Observability

Metadata Management

Master Data Management

Data Lineage

Data Governance

Data Cataloguing

AI-Ready Data Foundations

Vector Database fundamentals

Semantic Layer Design

Knowledge Graph Concepts

Data Foundations for GenAI & AgenticAI

Git & Version Control

API Integration

Workflow Automation

CI/CD Fundamentals

Agile Delivery

Education

Bachelor's or Master’s in CS/CE/IS/Bioinformatics/Biotechnology

Tools

Databricks

dbt

AWS

Job description

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.

Build the data foundation that helps us get to an AI native state

Advanced AI is only as powerful as the data that enables it.

We are seeking an early-career Data Engineer passionate about creating high-quality scientific data products and contributing to the development of data fabric to support advanced analytics, AI, machine learning, and scientific decision-making across Pharmaceutical Product Development.

What You Will Do

• Build scientific data products for product development focused on datasets for molecular features, material properties, laboratory data, process and manufacturing parameters, stability and product performance data.
• Contribute to initiatives for data structuring and data contextualization.
• Develop and maintain scalable data pipelines supporting analytics, AI, and scientific modelling initiatives.
• Transform raw scientific and operational data into trusted, model-ready data products.
• Work with cross-functional teams to improve data accessibility, reliability, and quality.
• Support enterprise initiatives involving Databricks, Data Fabric, and cloud-native architectures.
• Automate data workflows and reduce manual effort through engineering best practices.
• Contribute to development of reusable data assets supporting Product Development innovation across US, Europe and India.

What Makes You Successful

• You are naturally curious and:
• Ask why before asking how.
• Investigate root causes rather than treating symptoms.
• Enjoy solving messy, ambiguous data problems.
• Balance technical rigor with practical execution.
• Work effectively with scientists, analysts, data scientists, and engineers.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Chemical Engineering, Information Systems, Bioinformatics, Biotechnology or related field with 2+ years of industry experience.
• Technical hands-on experience with modern data technologies.
• Data Engineering:
  • SQL
  • Python
  • ETL/ELT Development
  • Delta Lake
  • Lakehouse Architecture
  • Medallion Architecture
  • Data Modelling
  • Data Warehousing
  • Distributed Computing
  • Data Validation
• Cloud & Modern Data Platforms:
  • Databricks
  • dbt
  • AWS
• Modern Data Practices:
  • Data Product Design
  • Vector Databases
  • Data Quality Engineering
  • Data Observability
  • Metadata Management
  • Master Data Management
  • Data Lineage
  • Data Governance principles
  • Data Cataloguing
• Emerging Technologies:
  • AI-Ready Data Foundations
  • Vector Database fundamentals
  • Semantic Layer Design
  • Knowledge Graph Concepts
  • Data Foundations for GenAI & Agentic AI Applications
• Software Engineering & Delivery Practices:
  • Git & Version Control
  • API Integration
  • Workflow Automation
  • CI/CD Fundamentals
  • Agile Delivery
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.

Preferred

• Experience working with pharmaceutical product development datasets in the scientific, manufacturing, or laboratory data domains
• Exposure to scientific, analytical, or laboratory-based methods through academic coursework, research with an aptitude for understanding the data generated by these techniques
• Familiarity with Data products and AI/ML workflows
• Experience with PySpark, Python, SQL, dbt, Databricks

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 [e-mail]. 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/

Data Protection

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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 [e-mail] 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.

R1605604 : Process Data Engineer I - Pharmaceutical Product Development