Description

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

This role is hybrid.

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).
• Hands-on experience with SQL and advanced concepts (RANK, DENSE_RANK).
• Deep understanding of PostgreSQL development, query optimization, and index design.
• Expertise writing ETL pipelines combining Python and SQL.
• Proficiency with data manipulation libraries such as Pandas, Polars, or DuckDB.
• Experience with data orchestration tools (Apache Airflow, Dagster, Prefect).
• Solid experience with Big Data technologies, preferably AWS.

Preferred Skills

• Any Graduate

Key Skills

Education

Any Graduate