Bristol Myers Squibb

pharma

DataEngineer

India FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Entry candidates.

The Brief

“Data Engineer at Bristol Myers Squibb. Skills: Data Engineering, ETL/ELT pipelines, SQL, Python, Databricks, Delta Lake, Cloud Data Engineering. Design, build, and support reliable batch and incremental data pipelines for commercial data products, ensuring scalability, maintainability, and operational readiness. Ingest, transform, and integrate large-scale structured and semi-structured pharma datasets into curated refined-layer tables”

What You'll Achieve.

build, operate, and continuously improve reliable data pipelines and curated datasets that support commercial analytics and reporting; transform raw data into high-quality, analytics-ready tables in the refined layer; ensure data products are trusted, secure, and well-documented

Industry & Context.

pharma
Problems you'll solve

problem-solving; triage and resolve data issues

Eligibility Requirements

compliant handling of sensitive/regulated data, PII/PHI awareness

What They're Looking For.

Must Have

Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Statistics/Mathematics, or a related field (or equivalent practical experience), 1–3 years of hands-on experience in data engineering or related roles, building and supporting ETL/ELT pipelines, Experience processing large-scale structured and semi-structured datasets using SQL and Python, with attention to data quality, performance, and maintainability, Proficiency in SQL and Python for data transformation, validation, and pipeline development, Experience building ETL/ELT pipelines and working with lakehouse concepts (e.g., medallion bronze/silver/gold layers), Hands-on experience with Databricks (notebooks/jobs/workflows) and Delta Lake concepts (ACID tables, incremental processing, upserts/merge), Familiarity with data modeling for analytics-ready datasets, Experience with cloud data engineering fundamentals (e.g., AWS storage/compute, IAM concepts), Understanding of data quality practices and operational support, Working knowledge of engineering best practices (Git/version control, code reviews, basic CI/CD concepts), Understanding of data governance and secure data handling (documentation, lineage, access controls, PII/PHI awareness)

Nice to Have

biopharma/pharmaceutical experience is a plus, experience with Databricks and Delta Lake concepts, experience working with commercial pharma datasets (e.g., claims, sales, payer, patient, HUB/specialty pharmacy) and understanding common identifiers and integration challenges, Familiarity with BI/visualization tools (Tableau/Power BI) is a plus for downstream consumption

What You'll Do.

and support reliable batch and incremental data pipelines for commercial data products

and operational readiness

and integrate large-scale structured and semi-structured pharma datasets into curated refined-layer tables

Implement transformation logic including cross-domain joins and slowly changing dimensions (SCD)

Ensure data quality through cleansing

automated validation checks

and monitoring/alerting

Apply data governance practices including documentation

and compliant handling of sensitive/regulated data

Translate requirements into data specifications

Define dataset readiness criteria

Support adoption of published data products

How You'll Work.

Team & Collaboration

work closely with engineers, analysts, and business stakeholders; Partner with analysts and business stakeholders; Ability to work with both technical and business partners

Communication Scope

communication; Ability to work with both technical and business partners

Process & Methodology

time-management skills

Full Job Description

**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](https://careers.bms.com/working-with-us). **Position Summary** We are looking for an early‑career Data Engineer to help build, operate, and continuously improve reliable data pipelines and curated datasets that support commercial analytics and reporting. In this role, you will transform raw data into high‑quality, analytics‑ready tables in the refined layer, applying data modeling best practices, validation checks, and governance standards. You will work closely with engineers, analysts, and business stakeholders to understand data requirements, implement scalable transformations, and ensure data products are trusted, secure, and well‑documented.** ** **Key Responsibilities** · Design, build, and support reliable batch and incremental data pipelines for commercial data products, ensuring scalability, maintainability, and operational readiness. · Ingest, transform, and integrate large-scale structured and semi-structured pharma datasets (e.g., claims, patient, HUB, and specialty pharmacy data) into curated refined-layer tables. · Implement transformation logic inclu

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