Data Engineer I - Transparency Data Operations
Bristol-Myers Squibb · Hyderabad · onsite · Posted 22d ago
About a minute. You'll make an account on the way through.
About this role
Job Summary
As a Data Engineer on our Transparency Data Operations team in Hyderabad, youll be at the heart of that commitment, building and running the data pipelines that ensure every reportable interaction with healthcare providers and organizations worldwide is captured, validated, and disclosed accurately and on time. Youll work hands-on with SQL, Python, Databricks, and AWS across a truly global data landscape - moving data reliably, catching issues before they become problems, and automating whats manual today - while collaborating with partners in Legal, Compliance, and Technology to turn evolving regulations into robust, scalable solutions. If youre curious, detail-oriented, and excited to grow in a role where reliability and continuous improvement genuinely matter, wed love to hear from you.
Purpose of the role and the team
Support end-to-end Transparency Data Operations that enable accurate, complete, timely and compliant disclosure of Transfers of Value to HCPs, HCOs, PAGs and other reportable third parties.
Operate and enhance data ingestion, transformation, validation, reconciliation and delivery processes across integrated global source systems and manual data collections.
Ensure Transparency data is available and fit for downstream processing in MediSpend, analytics, certification, regulatory reporting and publication.
Partner with Global Transparency, Legal, Compliance, regional teams, source-system owners and technology teams to translate new laws, codes and reporting needs into scalable data solutions.
Monitor data quality, completeness, timeliness and operational controls; investigate exceptions and drive remediation with upstream and downstream stakeholders.
Support new-market deployments, source-system changes, platform modernization, data integrations and automation while maintaining business continuity, traceability and process rigor.
Capabilities
- Strong understanding of end-to-end data operations, including ingestion, ETL/ELT, validation, reconciliation, exception handling, monitoring and controlled delivery.
- Translate reporting requirements into mappings, transformation rules, validation controls, technical specifications and test scenarios.
- Hands-on analytical and troubleshooting capability using SQL and Python across complex datasets, databases, cloud platforms and pipelines.
- Strong cross-functional collaboration, documentation, prioritization, communication and problem-solving skills.
- Continuous-improvement mindset focused on automation, reusable solutions and stronger controls.
Technical Skills
- Databases and Programming: SQL, PostgreSQL, Oracle, Python, PySpark
- AWS Cloud: EC2, S3, IAM, Lambda, RDS, Redshift
- Data Engineering: Databricks, ETL/ELT, Data Warehousing, Data Quality and Validation
- Analytics and Development: Power BI, Data Visualization
- Tools and Practices: Git/GitHub, CI/CD, Agile/Scrum
Experience Qualification requirements
- Bachelors degree in Computer Science, Information Technology, Engineering, Data/Analytics or a related field.
- 1-4 years of experience in data engineering, data operations, software development, business intelligence or a related role.
- Experience supporting ETL/ELT pipelines, databases, cloud data solutions and scheduled operational processes.
- Experience with SQL, Python, source-to-target validation, reconciliation and automation.
- Experience with AWS, Databricks, Oracle/PostgreSQL and Power BI is preferred.
- Experience with production support, root-cause analysis, reruns, releases and change control.
- Pharmaceutical, healthcare, compliance, Transparency Reporting or master-data experience is preferred.
- Ability to manage multiple priorities and support urgent production or reporting needs when required.
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.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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About Bristol-Myers Squibb

Bristol-Myers Squibb
Pharma
375
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139 years old
New York
United States
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