Wakapi
Data Engineer (Medallion Pipelines & Open Formats)
Data engineer in Mendoza, Argentina who builds scalable data pipelines and cloud-ready data lakes. Day to day: implementing Medallion architecture and analytics-ready transformations in Python with DuckDB, optimizing PostgreSQL schemas, and working with Parquet, Iceberg, Delta Lake and Databricks/Spark in a multi-cloud environment.
- Compensation
- Not disclosed
- Location
- Ciudad de Mendoza, Argentina
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Build scalable data pipelines and manage cloud-ready data lakes
- Implement Medallion architecture
- Run analytics-ready transformations in Python with DuckDB
- Optimize PostgreSQL schemas
- Work with open storage formats: Parquet, Iceberg, Delta Lake
- Work with Databricks/Spark to scale workloads in a multi-cloud environment
Full description
Wakapi is seeking a data engineer to build scalable data pipelines and manage cloud-ready data lakes. You will implement Medallion architecture and run analytics-ready transformations in Python with DuckDB.
You'll optimize PostgreSQL schemas, coordinate across open storage formats such as Parquet, Iceberg, and Delta Lake, and work with Databricks/Spark to scale workloads in a multi-cloud environment.