Senior Data Engineer (m/w/d)
Summary
Designs and maintains data pipelines, ETL workflows, and data governance frameworks to ensure high-quality, scalable data processing for analytics and business use. Core technologies include Spark, Airflow, SQL, and data lake management.
- Build ETL workflows
- Deduplicate datasets
- Define data policies
- Design data models
- Ensure data quality
- Implement ETL pipelines
- Implement data governance
- Integrate structured data
- Integrate unstructured data
- Maintain data lake quality
- Manage Spark clusters
- Manage data lifecycle
- Optimize SQL queries
- Orchestrate ETL with Airflow
- Oversee data processing systems
- Perform data validation
Perks/Benefits:
- Symbiotic Academy
- Training opportunities