Related skills
bigquery redshift aws snowflake sql📋 Description
- Designing, building, and optimizing data pipelines and ETL for large data.
- Developing data platforms and warehousing solutions to support analytics.
- Implementing scalable storage for high availability and performance.
- Boosting data processing performance for speed and scalability.
- Collaborating with data scientists and stakeholders to translate needs.
- Ensuring data quality, governance, and compliance.
🎯 Requirements
- 6+ years of commercial data engineering experience.
- Experience delivering in Agile environments.
- Hands-on with Databricks, SQL, Python, and Spark.
- Data warehousing tech: Snowflake, Redshift, BigQuery.
- Cloud data solutions: AWS, Azure, GCP; data lake architectures.
- Automation, CI/CD for data pipelines; IaC.
🎁 Benefits
- Annual company bonus shared with team.
- Remote work with flexible hours.
- Paid time off: 28 days + holidays.
- Remote working allowance up to €1250 every 2 years.
- Training allowance up to €1000.
- Health care and pension/insurance plans.
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