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Intermediate Python Data Platform Engineer to help build a centralized data platform supporting Technology Risk functions - NTTJP00094588

Montréal, QC
  • Nombre de poste(s) à combler : 1

  • À discuter
  • Emploi Contrat

  • Date d'entrée en fonction : 1 poste à combler dès que possible

Our IT consulting services client is looking for an Intermediate Python Data Platform Engineer to help build a centralized data platform supporting Technology Risk functions. This role emphasizes Python development, data pipeline engineering, and integration with internal data platforms.


Must Have:

  • 2+ years experience in data development within complex, large-scale environments.
  • 2+ years of SQL / PLSQL experience, including writing complex ad-hoc queries.
  • 2+ years developing data pipelines and warehousing solutions in Python (Pandas, NumPy, PySpark).
  • Experience in hybrid data environments (on-prem & cloud).
  • Building Airflow DAGs, including dynamic task generation and error handling.


Hands-on experience with:

  • Snowflake
  • Apache Spark
  • Integrating structured, semi-structured, and unstructured data
  • Strong understanding of E-R modeling, advanced data warehouse concepts, and performance tuning.
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