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Lead Data Solutions Engineer
vor 3 Monaten
Thor Companies is collaborating with a forward-thinking organization that prioritizes technology and is embarking on a significant internal Cloud Transformation initiative utilizing AWS. We are in search of a seasoned Data Engineer to join our team.
Language Requirements: German and English
Remote Work Flexibility: 40%
Compensation: 70,000€
Key Responsibilities:
- Develop and refine ETL workflows to effectively extract, transform, and load data from various sources into designated systems.
- Create and implement scalable data architectures, including data lakes, warehouses, and streaming solutions.
- Establish and execute robust data models while ensuring data accuracy, integrity, and optimal performance.
- Enhance database queries, indexing, and caching strategies for increased efficiency.
- Oversee data pipelines, address issues, and perform regular maintenance activities.
- Work collaboratively with cross-functional teams to meet project objectives.
Essential Skills and Qualifications:
- Expertise in SQL for database management and Python for scripting and automation tasks.
- A minimum of four years of experience in the field of data engineering.
- A degree in computer science, computer engineering, or a related discipline.
- Familiarity with distributed data frameworks such as Apache Spark, Apache Airflow, or DataHub.
- Experience with cloud platforms (e.g., AWS, Azure) and their associated data services.
- Understanding of data architecture principles and tools, including data warehouses, data lakes, lake houses, and data catalogs.
- Ability to diagnose complex data challenges and enhance system performance.
- Knowledge of data governance practices and relevant tools.
- Experience with version control systems such as GitHub.
- Preferably, experience in migrating on-premises data architectures (e.g., PostgreSQL, Influx) to cloud environments.
- A proactive, responsible, and diligent work ethic, combined with a collaborative and adaptable approach.