Data Engineer

• Data Pipeline Design, Implementation, Optimization and productionization in snowflake.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Create and maintain datasets that support the needs and products.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
• Implementing processes oriented to improve quality, consistency, and reliability through the various pipelines (monitoring, retry, failure detection).

Senior Snowflake Data Engineer

Senior Data Engineer – Consulting

Working Student – Data Engineering, Prozessautomatisierung

Lead Data Engineer

Manager, IT – Data Engineering

Scientific Data Engineer