Description

You will own the design and implementation of the data architecture.

Responsibilities

  • Design, implement, and update existing and new batch ETL pipelines.
  • Define and implement the overall data architecture.
  • Partner with engineers and data analysts to build reliable, trustworthy datasets.
  • Participate in developing features within the existing Data Warehouse.
  • Provide technical leadership connecting Engineering, Product, and Analytics teams.

Required Skills

  • 10+ years of experience in data-driven projects.
  • Expert knowledge of Data Modelling paradigms (Kimball, Inmon, Data Vault, etc.).
  • Expertise in designing and building ETL pipelines covering ingestion, transformation, and data quality.
  • Mandatory hands-on experience with SQL and advanced SQL concepts (RANK, DENSE_RANK).
  • Deep understanding of PostgreSQL development, query optimization, and index design.
  • Required expertise writing ETL pipelines combining Python and SQL.
  • Solid experience with Big Data technologies, preferably AWS.
  • Proficiency with data manipulation libraries such as Pandas, Polars, or DuckDB.
  • Experience with data orchestration tools (Apache Airflow, Dagster, Prefect).

Key Skills
Education

Any Graduate

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