Senior Data Engineer

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:

BMS Hyderabad is an integrated global hub where our work is focused on helping patients prevail over serious diseases by building sustainable and innovative solutions. This important science, technology, and innovation center will support a range of technology and drug development activities that will help us usher in the next wave of innovation. 

Purpose
We are seeking a Senior Data Engineer to design, develop and support a variety of internally developed applications, tools and platforms focused on research data management.  This will include Enterprise Data Lake, research data repositories, data ingestion tools, data quality frameworks and technologies that include for example AWS EC2, AWS API Gateway, AWS Lambdas, AWS Glue, S3, RDS, Data Zone, Data Bricks, Apache Spark, and Python.  

The candidate will provide leadership and oversight to ongoing Data Operations activities focused on onboarding external labs and integrating biomarker datasets with data lake and other clinical systems.

The candidate will influence ongoing data management processes with automations fueled by AI/ML, utilizing GenAI, Agentic AI and emerging LLM models.  The candidate will lead development of productivity tools used by the data operations team including AI based ETL pipeline generation, AI driven data quality assessment of externally acquired datasets as well development of data products for efficient distribution of commonly used research datasets.
The candidate will design and develop data pipelines, implement necessary integration work, and will manage electronic data collection and access, all in accordance with BMS policies and project expectations. The scope of work includes development and testing data pipelines, metadata management, lifecycle management, data quality assurance, data management (parsing, transformations, extraction), data enrichment through scripting, as well as contributing to solution design. 
This role requires innovative thinking to identify automation opportunities to improve productivity of various data management and data governance processes.  The candidate will be an integral part of a small team focusing exclusively on Research scientific data and will contribute to the Research portfolio of projects.

Experience & Qualifications

•    BS/MS in STEM (Computer Science, Engineering) or a degree in life sciences with computer science expertise

•    4+ years of relevant industry experience, or a strong technical graduate 

•    Experience/expertise in database development, data transformations, systems and data integration, building pipelines and data lake management

•    Experience with modern SQL and NoSQL databases 

•    Experience leveraging AI tools and LLM models for productivity improvement in software development, data management and automation.

•    Proficient with programming languages like Python, PySpark, JavaScript, NodeJS

•    Experience with AWS Web Services for storage management, serverless application development, API development, application deployment, access control,  database development etc.

•    Experience in Linux/Unix scripting

•    Experience/expertise in lab data acquisition lab data management processes

•    Demonstrated strong teamwork and organizational skills, and outstanding interpersonal skills

•    Ability to multitask, work independently and communicate effectively

•    Strong analytical and problem-solving skills

•    Knowledge of microservices architectures 

•    Experience or training in managing big data

•    Knowledge of RDBMS or other data cataloging systems

•    Experience with life sciences
 

Key Responsibilities

•    Develop applications, tools, frameworks and automations focused on improving productivity of data operations team for data management activities

•    Develop and support architecture and framework for managing data quality, data integration and ETL automation and metadata management

•    Develop and support data products for distributing commonly used datasets across research and translation medicine data scientists

•    Provide oversight to the data operations team focused on onboarding datasets from external labs

•    Develop documentation, APIs, data models, transformation rules etc. to facilitate knowledge of scientific data repositories

•    Technical ownership of applications, tools and platforms used for research data management.

•    Develop frameworks and automations for managing complex data pipelines, monitor data quality issues and manage data access

•    Provide technical expertise in the capture and transformation of complex scientific data 

•    Perform metadata management for downstream integration solutions

•    Contribute to the development of policies, procedures, and best practice methodologies; ensure that data is well governed, quality assured, and policies are followed

•    Understand the needs of the business and commit to delivering the best user experience and adoption practices 

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 Visit 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: 

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