Data Engineer
Core
Design, develop, and maintain data solutions for data generation, collection, and processing, including creating data pipelines and implementing ETL processes.
Role type
Data Engineer
Builds
Data pipelines and ETL processes for data migration and deployment across systems
Domain
Cloud data engineering and data warehousing
Deliverable
production ML models | product features
Required skills
AWS Glue, PySpark, data modeling, database design, ETL processes, data integration, cloud data storage, data warehousing, data governance, data quality
Responsibilities
Create data pipelines, ensure data quality, implement ETL processes, monitor and optimize data pipelines for performance and reliability, collaborate with stakeholders to gather data requirements
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