Bristol Myers Squibb is a global biopharmaceutical company with Indian operations headquartered in Hyderabad. This role sits at the intersection of data engineering and analytics, focused on turning raw data into clean, business-ready datasets that support dashboards, reports, and AI/ML models.

• Design, develop, and maintain ELT pipelines using Spark, Python, and SQL
• Build and document centralized data models such as star and snowflake schemas
• Collaborate with AI/ML teams to provide high-quality data foundations for predictive models
• Implement data quality checks, testing frameworks, and monitoring using Airflow DAGs
• Optimize query performance and storage costs on AWS data services
• Create and maintain dashboards and visualizations in Tableau, Power BI, or Looker
• Produce technical documentation in Confluence and support knowledge-transfer sessions

• Strong hands-on experience with SQL, Apache Spark, PySpark, and Python
• Familiarity with dbt, AWS data services, Apache Airflow, and BI tools
• Experience with Git/SVN and Agile tools such as JIRA and Confluence
• Ability to collaborate with cross-functional teams and translate business questions into data solutions
• Comfort working with Oracle, PostgreSQL, or CDP Impala

• Growth path from Analytical Engineer to Senior Analytical Engineer, Data Platform Lead, or specialized AI/ML engineering or product analytics roles
• Internal mobility, mentorship programs, and sponsorship for certifications such as AWS, dbt, and Tableau
• Purpose-driven organization impacting millions of lives
• Collaborative Hyderabad campus environment
• Flexible work-from-home options
• Balanced work-life culture with support for employee well-being