onsite
Data Engineer - SQL - Hays Professional Solutions GmbH
Data Engineer
Data Engineer focused on SQL and ETL pipelines, building scalable data solutions on AWS with Python. Drive data quality, performance, and automation for enterprise analytics.
About the role
Key Responsibilities
- Design, develop, and maintain robust SQL-based ETL pipelines for large-scale data ingestion and transformation.
- Optimize query performance and database schemas to support real-time analytics and reporting.
- Implement data quality checks, monitoring, and automated alerting to ensure data integrity.
- Collaborate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions.
- Deploy and manage data workflows on AWS services such as Redshift, S3, Glue, and Lambda.
Requirements
- Proven experience with SQL and relational database design.
- Strong background in ETL development and data pipeline orchestration.
- Hands‑on proficiency in Python for data manipulation and automation.
- Experience with AWS data services (Redshift, Glue, S3, Lambda).
- Excellent problem‑solving skills and ability to work independently in a fast‑paced environment.