About
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.
What you’ll do
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
Who you are
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
Perks
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
MATCH FREE