Related skills
aws snowflake python kubernetes dbt📋 Description
- Design & Build scalable ELT pipelines using Python and Airflow.
- Own the Data Model in cloud data warehouse using dbt.
- Expand the Semantic Layer to create a single source of truth.
- Champion Data Quality with validation, testing, and monitoring.
- Enable Self-Service Analytics for stakeholders to query data.
- Cross-Functional Collaboration with Backend, BI, and decision-makers.
🎯 Requirements
- Bachelor’s degree in CS or a related field.
- 3+ years of experience as a Data/Analytics Engineer.
- Strong Python skills for data processing and ETL.
- Experience in data modeling with dbt or equivalent.
- Experience with Snowflake, BigQuery, Redshift, or similar.
- Experience with orchestration tools like Airflow, Luigi, or Dagster.
🎁 Benefits
- Culture values product ownership and collaboration.
- Smart, dynamic teammates and growth opportunities.
- Hybrid work environment at TLV R&D site.
- Opportunities for professional development.
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