Data Engineer
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- 5+ years in data engineering: They want someone experienced in building and maintaining data warehouses (structured storage for analytics) or data lakes (storage for large volumes of raw or semi-structured data).
- 2+ years working with AWS data services: Hands-on experience with AWS-specific tools, not just general cloud knowledge. Technical Skills
- Python: Must be very comfortable coding in Python, used for ETL (Extract, Transform, Load), data processing, and automation.
- AWS Data Services:
- Storage: S3 – store and organize data, foundation for a data lake.
- Compute: AWS Glue, AWS Lambda – process, transform, and clean data.
- SQL: Strong skills for querying, manipulating, and optimizing datasets.
- Data Formats: Comfortable working with Parquet, ORC, CSV, JSON, Avro.
- Version Control: Git – understand branching, merging, and collaborative workflows.
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