DATA ENGINEER
Core
Designing, developing, and maintaining infrastructure and systems for data storage, processing, and analysis to enable efficient data integration, transformation, and delivery across the enterprise.
Role type
Data Engineer
Builds
Data pipelines and enterprise data systems
Domain
Healthcare / Pharma
Deliverable
production ML models | infrastructure
Required skills
Data pipeline development, data integration, data transformation, data cleansing, aggregation, filtering, enrichment, performance optimization, system monitoring, caching strategies, indexing strategies, data quality validation, data governance
Preferred skills
Master's degree in CS/Data Science/Software Engineering
Technologies
(Not explicitly listed)
Responsibilities
Collaborate with data scientists and analysts to optimize models and algorithms for data quality and governance; Ensure data consistency and integrity during integration; Transform raw data into usable formats; Optimize data pipelines for performance and scalability; Monitor and tune data systems to resolve bottlenecks; Implement data quality checks within pipelines; Establish governance for data and algorithms used in analysis and automated decision making.
Seniority
Mid-level to Senior
