Engineer 2, Data Engineering
Core
Designing and maintaining data structures, pipelines, and storage solutions to support advanced analytics and machine learning initiatives.
Role type
Data Engineer
Builds
Data pipelines, ingestion frameworks, data warehouses, and lakes
Domain
Enterprise data infrastructure and analytics
Deliverable
production ML models | data pipelines | dashboards & analysis
Required skills
ETL design, data pipeline development, data quality assurance, data governance, cloud storage management, Kubernetes, SQL, API development
Preferred skills
Data migration, impact analysis, code reviews
Technologies
Kubernetes, Teradata, Databricks, minIO, AWS S3, Redshift
Responsibilities
Develop data structures and pipelines for data collection and transformation; Ensure data quality throughout ingestion, processing, and loading; Create ingestion frameworks for various data types; Maintain data warehouses and lakes; Determine suitable storage solutions based on data sensitivity; Handle data migrations and conversions; Design and monitor ETL processes; Participate in code reviews and data governance efforts.
Seniority
Mid-level, hands-on IC
