onsite
Data Engineer - Ashampoo GmbH & Co. KG
Data Engineer
Data Engineer responsible for designing, building, and maintaining scalable data pipelines and infrastructure using Python, SQL, Spark, and AWS services to support analytics and machine learning initiatives.
About the role
Key Responsibilities
- Design, develop, and optimize robust ETL pipelines to ingest, transform, and load large volumes of structured and unstructured data.
- Implement data models and schemas in relational and NoSQL databases, ensuring data quality and consistency.
- Leverage Apache Spark and Python to process and analyze data at scale, delivering actionable insights to stakeholders.
- Deploy and manage data workflows on AWS (S3, Redshift, Glue, EMR) and orchestrate with Airflow.
- Collaborate with data scientists, analysts, and product teams to understand requirements and translate them into technical solutions.
Requirements
- 3+ years of experience as a Data Engineer or similar role.
- Experience with workflow orchestration tools such as Airflow.
- Excellent problem‑solving skills and ability to work in a fast‑paced environment.
Skills
pythonsqlapache sparkawsairflow