Designing, developing, and maintaining data pipelines
Data ingestion to cloud data lakes and warehouses
Data quality checks and data catalogs
Join a global healthcare biopharma company with a 130-year legacy, driven by digital technology and data-backed approaches to tackle global health threats
Job Summary
Join a global healthcare biopharma company with a 130-year legacy, driven by digital technology and data-backed approaches to tackle global health threats.
As a Senior Data Engineer, you will be responsible for designing, developing, and maintaining data pipelines, ensuring data reliability, governance, security, and availability for analytics.
Be part of an agile team that collaborates internationally to deliver innovative solutions, enabling new organizational capabilities and advancing the prevention and treatment of diseases.
Matching Summary
Join a global healthcare biopharma company with a 130-year legacy, driven by digital technology and data-backed approaches to tackle global health threats.
Skills & Requirements
Must-have
designing, developing, and maintaining data pipelines
data ingestion to cloud data lakes and warehouses
data quality checks and data catalogs
orchestration, logging, and monitoring tools
test driven development methodology
serverless AWS services like Glue, Lambda, Step Functions
Terraform Code to deploy on AWS
containerize Python code using Docker
PySpark for large datasets
Python, PySpark proficiency
Nice-to-have
data mesh and data fabric innovations
collaboration with Data Analysts and Scientists
work in cross functional teams
intellectually curious
empathy, creativity, digital mastery, or scientific genius