Found Description
Requirements
- Strong Python skills for building and maintaining data pipelines
- Advanced SQL and understanding of performance basics
- Experience building production‑grade data pipelines
- Good understanding of data modeling concepts (including medallion architecture)
- Hands‑on experience with Snowflake or another modern cloud data warehouse (e.g. BigQuery, Redshift, Databricks)
- Understanding of ELT patterns and how transformations are performed inside analytical warehouses
- Familiarity with performance considerations such as partitioning, clustering, and query optimization basics
- Experience using Airflow orchestration tool to design and maintain DAGs
- Exposure to modern data integration tools (e.g. Airbyte) is a strong plus
- Understanding of API‑based ingestion, database connectors, and schema evolution handling
- Practical experience with cloud services such as AWS S3 and IAM for instanc...