The role involves designing and maintaining ETL pipelines and data products to support reporting and analysis needs within a life-changing mission
Job Summary
The role involves designing and maintaining ETL pipelines and data products to support reporting and analysis needs within a life-changing mission.
Candidates will work end-to-end with an ownership mindset, collaborating with data architects and scientists to ensure infrastructure meets requirements.
Bristol Myers Squibb offers competitive benefits, flexibility, and opportunities to grow alongside high-achieving teams in a supportive culture.
Matching Summary
The role involves designing and maintaining ETL pipelines and data products to support reporting and analysis needs within a life-changing mission.
Skills & Requirements
Must-have
5-8 years hands-on data engineering experience
Expertise in Databricks SME grade
Real-time data ingestion pipelines in AWS
CloudFormation and Custom Resources development
GitHub Workflows integration with AWS
Python, PySpark, Scala programming skills
AWS Glue, S3, Lambda, Redshift, Athena
Nice-to-have
Cloudera Data Platform experience
Tableau labs familiarity
Lifesciences R&D domain knowledge
Agile/Product-based environment experience
Global team collaboration skills
Mentoring and leadership capabilities
Key Requirements
5-8 years of data engineering or software development experience
SME level expertise in Databricks
Strong background in AWS cloud ecosystem
Experience with Python, R, PyTorch, Pandas, Scala
Knowledge of SQL and database technologies like MySQL, PostgreSQL