Data Engineer / DataOps Engineer
New
Warsaw, Centrum, Warsaw, Country code: PLContractMiddle
Salary not disclosed
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Job Details
- Languages
- English (B1)
- Experience
- 5+ years
- Required Skills
- SQLETLGitKubernetesMicrosoft AzureSnowflakeAirflowCI/CDdbt
Requirements
- 5+ years of professional practice in data engineering.
- Strong, practical experience with Snowflake (views, tables, performance tuning, orchestrated ELT processes).
- Solid expertise using dbt for SQL-based transformations.
- Hands-on experience with Airflow for workflow scheduling and automation.
- Experience deploying and maintaining containerized workloads on Kubernetes.
- Familiarity with cloud environments, with strong understanding of Microsoft Azure services.
- Practical experience building ETL/ELT pipelines and maintaining production data workflows.
- Good understanding of Git-based development, CI/CD pipelines, and general DevOps principles.
- Analytical mindset and ability to troubleshoot issues in complex systems.
Responsibilities
- Develop and maintain end-to-end data pipelines using Snowflake as the core data platform.
- Build ELT workflows using dbt and manage orchestration with Airflow.
- Implement and support DataOps processes, including CI/CD automation, monitoring, and workload deployment on Kubernetes.
- Optimize Snowflake performance, including warehouses, storage usage, and query efficiency.
- Ensure data reliability through data validation, testing, and monitoring practices.
- Integrate various data sources and manage ingestion processes into Snowflake.
- Collaborate with cross-functional teams to deliver reliable, production-ready data solutions.
- Follow engineering best practices, maintain coding standards, and support continuous improvement.
- Support team knowledge sharing and mentor junior developers when needed.
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