Senior Data Engineer (with AI/ML experience) (#5526)
- Рівень:
- senior
- Джерело:
- djinni.co
Що робити
- Design, build, and maintain scalable end-to-end data pipelines from ingestion through transformation and reporting.
- Develop robust data warehouse solutions using modern data modeling techniques (Kimball, Data Vault, or normalized models).
- Build and optimize Snowflake-native solutions using Dynamic Tables, Streams, Tasks, Stored Procedures, and Snowpark.
- Design high-performance SQL queries and optimize warehouse performance, clustering, and search optimization.
- Develop Python-based data processing and API ingestion workflows.
Що очікуємо
- 5+ years of hands-on experience as a Data Engineer building and delivering end-to-end data solutions.
- 3+ years of hands-on experience with Snowflake, including building production-grade data pipelines using Dynamic Tables, Streams, Tasks, Stored Procedures, and Snowpark.
- Expert-level SQL skills with extensive experience optimizing complex queries and designing high-performance data warehouses.
- Strong experience designing and implementing enterprise data models using dimensional modeling (Kimball), Data Vault, or normalized approaches.
- Advanced Python programming skills for data processing, API integrations, workflow automation, and ETL/ELT development.
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