Intermediate Python Data Platform Engineer to help build a centralized data platform supporting Technology Risk functions - NTTJP00094588
S.i. Systèmes Montréal
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 .
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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