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Snowflake Data Engineer (Airflow)

Link Group · Remote, Wrocław, Kraków, Poland · Hybrid · Senior

  • Remote, Wrocław, Kraków, Poland · Hybrid

Indexed (today) · refreshed constantly

Budget
zł 110–120 / h
Start
ASAP
Work mode
Hybrid
Contract
Freelance / B2B
Seniority
Senior
Reference
VMW6N1RZ

Required skills

Job description

- Develop and maintain data pipelines using Apache Airflow and Python. - Build data ingestion processes from APIs, databases, and file-based sources into AWS S3 and Snowflake. - Design and implement data transformations using dbt. - Optimize Snowflake queries, warehouse performance, and resource consumption. - Implement pipeline monitoring, error handling, a

Project overview

  • Develop and maintain data pipelines using Apache Airflow and Python.
  • Build data ingestion processes from APIs, databases, and file-based sources into AWS S3 and Snowflake.
  • Design and implement data transformations using dbt.
  • Optimize Snowflake queries, warehouse performance, and resource consumption.
  • Implement pipeline monitoring, error handling, and alerting mechanisms.
  • Ensure data quality, consistency, and reliability through automated testing and validation.
  • Maintain technical documentation and follow data engineering best practices.
  • 3+ years of professional experience in Data Engineering.
  • Strong expertise in Apache Airflow, including DAG development, operators, sensors, hooks, TaskFlow API, and workflow optimization.
  • Advanced Python skills, including writing clean, maintainable, and testable code.
  • Advanced SQL knowledge, including complex queries, CTEs, window functions, and performance optimization.
  • Hands-on experience with Snowflake, including warehouses, stages, external volumes, and data loading processes.
  • Practical knowledge of dbt, including models, tests, macros, snapshots, and incremental transformations.
  • Experience with AWS S3 and Data Lake architecture, including data partitioning, file formats, and access management.
  • Familiarity with Git and CI/CD practices.
  • English proficiency at B2 level or higher.

Nice to have

  • Experience with Docker and Kubernetes.
  • Knowledge of Apache Iceberg or Delta Lake.
  • Familiarity with data quality and observability tools such as Great Expectations or Soda.
  • Understanding of dimensional data modeling (Kimball methodology).

Project details

  • Start: ASAP
  • Location: Remote, Wrocław, Kraków, PL
  • Rate: 110-120 EUR/h

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  1. Job boardNew

    Data Engineer (Snowflake & dbt)

    Link Group· Remote, Wrocław, Kraków, Poland· Hybrid· Senior· zł 130–150 / h

    • Snowflake
    • dbt
    • Apache Airflow
    • +6

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