System Engineer - IT Data Operator ( f / m / d )
Hybrid · Prague, Prague, Czechia
Job Summary
System Engineer - IT Data Operator will design, build and optimize data pipelines to facilitate extraction of data from multiple sources; provide first level end-user support for data pipeline issues; develop ETL/ELT (batch/stream) using Spark and/or Kafka; operate the data pipelines to ensure key SLAs across a wide range of producers and consumers; support ingestion, validation, cleansing and curation; promote data collaboration, orchestration, data quality, security, access, and ease of use; gather data requirements from analytics and business departments; write and maintain operational and technical documentation; work within Agile methodology; and collaborate with a global team across office locations.
Required Qualifications
- Hands on experience with cloud native technologies, Azure/GCP
- Direct experience in building data pipelines such as Data Factory
- SQL knowledge
- Understanding of wide range of big data technologies and data architecture
- Familiarity with data platforms and technologies such as Kafka, Data Lake, Spark; Databricks is a plus
- Demonstrated experience in one or more programming languages, preferably Python
- Good knowledge of CI/CD and version control tools such as Jenkins and GitHub Actions
- Ability to bring both engineering and operational (DevOps) mindset to the role
- Experience with monitoring tools like Prometheus, Grafana, ELK stack is a plus
- Strong team player willing to cooperate with colleagues across office locations and functions
- Proficiency in written and spoken English
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