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Data Engineer - Big Data & Splunk Intermediate - Cabo Personal GmbH
Data Engineer
Intermediate Data Engineer focused on building and maintaining scalable Big Data pipelines, leveraging Python, Spark, Hadoop, and Splunk for data ingestion, processing, and monitoring.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines using Python, Spark, and Hadoop ecosystems.
- Implement data ingestion from diverse sources, ensuring data quality and consistency.
- Configure and optimize Splunk for real‑time monitoring, alerting, and reporting of data workflows.
- Collaborate with cross‑functional teams to translate business requirements into technical solutions.
- Document architecture, processes, and best practices for future scalability.
Requirements
- 3+ years of experience in data engineering with a strong focus on Big Data technologies.
Skills
pythonsplunkapache sparkhadoop