onsite
Data Engineer - JobImpulse GmbH
Data Engineer
We are looking for a Data Engineer to design, build, and maintain scalable data pipelines and warehouses, leveraging Python, SQL, and cloud services to enable data‑driven decision making.
About the role
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines to ingest and transform data from multiple sources.
- Build and optimize data warehouse schemas and ensure high‑performance query execution.
- Implement data quality checks, monitoring, and alerting to guarantee reliable data delivery.
- Collaborate with data scientists, analysts, and product teams to understand data requirements and deliver actionable datasets.
- Leverage cloud platforms (e.g., AWS) for storage, processing, and orchestration of data workflows.
Requirements
- Strong proficiency in Python and SQL for data manipulation and pipeline development.
- Hands‑on experience with ETL tools or frameworks (e.g., Airflow, dbt, Spark).
- Solid understanding of data warehousing concepts and experience with cloud data services (e.g., Redshift, Snowflake, S3).
- Familiarity with version control (Git) and CI/CD practices for data pipelines.
- Problem‑solving mindset and ability to work independently in a fast‑paced environment.