Related skills
bigquery redshift aws snowflake sqlπ Description
- Design, build, and maintain scalable data pipelines and warehouses.
- Use SQL, Python, Spark for large-scale data processing.
- Collaborate with data scientists and analysts to translate needs.
- Ensure data quality, governance, and compliance across systems.
- Support CI/CD for data pipelines and IaC practices.
- Code reviews and best-practice enforcement in version control.
π― Requirements
- 6+ years of senior data engineering experience.
- Hands-on with Databricks, SQL, Python, Spark.
- Experience with Snowflake, Redshift, or BigQuery.
- Cloud data solutions (AWS, Azure, GCP).
- CI/CD for data pipelines and IaC.
- Git and code reviews for collaboration.
- Data governance and data quality expertise.
- Professional English communication.
π Benefits
- Annual bonus based on company performance.
- Remote work and flexible schedule.
- Paid time off: 24 days + holidays.
- Remote working allowance up to β¬1250 every 2 years.
- Training and development allowance up to β¬1000.
- Healthcare and pension & insurances.
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