Senior Specialist, GSF DnA Data Engineer
Core
Design and build trusted, scalable data platforms on AWS and Databricks to power analytics and reporting for a global healthcare biopharma company.
Role type
Senior Data Engineer (AWS/Databricks)
Builds
Batch and streaming data pipelines, curated datasets, and dimensional models on AWS-based data lakehouse and warehouse.
Domain
Healthcare biopharma / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
AWS (S3, Glue, Lambda, EMR), Databricks, Python, PySpark, SQL, Data Modeling (Star/Snowflake, SCD), CI/CD, Terraform, Docker, Data Quality/Observability
Preferred skills
dbt, Airflow, Kafka/Kinesis, Data Governance tools (Collibra, Immuta), Data Mesh/Fabric patterns
Technologies
AWS, Databricks, Python, PySpark, Spark SQL, Terraform, Docker, GitHub, Delta Lake, Parquet
Responsibilities
Design and operate end-to-end ETL/ELT pipelines; build curated datasets using dimensional modeling; implement data quality controls and observability; mentor engineers and set technical standards; optimize cloud workloads for performance and cost.
Seniority
Senior, hands-on IC with mentorship responsibilities