Lead Data Engineer @

2 weeks ago


Remote, Czech Republic SNI Full time

Required Skills and Experience   

  • 7+ years in data engineering, including 2+ years in a leadership or architecture role. 
  • Proficiency in Airflow, SnowFlake, DBT. 
  • Advanced proficiency in Python, Spark, SQL, and cloud services (AWS).   
  • Experience designing and deploying large-scale Data Warehouses.   
  • Strong data modeling experience. 
  • Experience working with third-party APIs and external data sources.   
  • Ability to optimize system performance, ETL workflows, and data storage solutions. 
  • Strong communicator, capable of bridging technical and non-technical teams.   
    • Familiarity with adtech ecosystems (DSPs, ad servers, etc). 
    • Exposure to Apache Druid, AWS Glue, PySpark (our current data stack, to be replaced). 
      • Knowledge of design patterns and best practices for data architectures. 
      • Experience defining data governance. 
      • Familiarity with CI/CD tools.   
      ,[Provide leadership and mentorship to a team of data engineers while remaining actively involved in data pipeline development, architecture, and system optimization., Design and implement scalable and efficient data architectures., Develop ETL data pipelines utilizing Airflow, Snowflake, and DBT., Establish and enforce best practices for data partitioning, retention, governance, and security., Collaborate with stakeholders to ensure data strategies align with business objectives and promote a data-driven culture., Drive continuous innovation in data engineering methodologies and system design., Convert business requirements into technical specifications and document data architecture and pipelines.] Requirements: Python, SQL, AWS, PySpark, Snowflake, Airflow, CI/CD


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