We seek a talented and communicative Data Engineer with knowledge and skills that cover the entire data lifecycle — from ingestion to delivery (serve) — as well as competencies in orchestration and infrastructure.

The ideal candidate is a hands-on professional with strong coding capabilities, experienced in DataOps practices and working within on-premises environments. This role involves building, maintaining, and optimizing scalable data solutions.

• Python:
  Strong understanding of Python and its application in data processing, including libraries such as pandas
• Airflow:
  Experience creating DAGs, maintaining workflows, and integrating with dbt-core
• DBT (dbt-core):
  Development and maintenance of models and macros
  Experience converting/migrating SQL code into dbt
• SQL Server:
  Advanced knowledge, including:
  • Performance tuning
  • Query optimization