Data Engineer with a Focus on Global Data Platforms
Vor 7 Tagen
Job Description:
We are seeking an experienced Data Engineer to join our team. The ideal candidate will have a strong background in designing and implementing large-scale, fault-tolerant, distributed systems.
Key Responsibilities:
- Design and implement automation of infrastructure, security components, and Continuous Integration & Continuous Delivery for optimal execution of data pipelines (ELT/ETL)
- Develop solutions to build resiliency in data pipelines with platform health checks, monitoring, and alerting mechanisms
- Liaison and collaborate with enterprise security, digital engineering, and cloud operations to gain consensus on architecture solution frameworks
- Review system issues, incidents, and alerts to identify root causes and continuously implement features to improve platform performance
Requirements:
- 5+ years of experience in building or designing large-scale, fault-tolerant, distributed systems
- Experience with physical Disaster Recovery testing in large data platforms on premise, with upstream and downstream pipelines
- In-depth knowledge of all analytical value streams from enterprise reporting (e.g. Tableau) to data science (incl. ML Ops)
- Fluent in English, good knowledge of German is beneficial
- Hands-on working knowledge of large data solutions (for example: data lakes, delta lakes, data meshes, data lakehouses, data platforms, data streaming solutions…)
About Us:
We are a leading consulting firm for strategic transformations, providing top-tier industry expertise and cross-sector skills. We combine interdisciplinary approaches with a focus on people and deliver comprehensive perspectives within our projects.
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