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Python ETL Developer
Ref No.: 25-263735
Start Date: 10/09/2025
Job Title: Python ETL Developer
Job ID: 152617
Duration: 06+ Months (W2 Only)
Location: Remote Role

Job Description:
Job Description:
  • A minimum of 8 to 10 years of practical IT experience is required.
  • Essential expertise includes Python development, IDE (Preferred - Visual Code Studios), CI/CD (Preferred - GitHub Actions), Code Management (Preferred - GitHub), Cloud Databases (Preferred - Snowflake), Scheduling tools (Preferred - Control M), Data warehousing, Unix.
  • Extensive experience across all development phases, specifically in the extraction, Transformation and Loading (ETL) of data from diverse sources into Data Warehouses and Data Marts.
  • Extensive experience developing ETL Pipelines using Python.
  • Comprehensive knowledge of warehousing architecture techniques such as Star Schema, Snowflake Schema, Facts, Dimensions etc.
  • Adherence to the company's software development lifecycle, encompassing the design, coding, configuration, testing, debugging, and documentation of system and application programs.
  • Conducts technical validations and supports User Acceptance Testing (UAT); participates in architecture, design, and code reviews.
  • Evaluates functional requirements and analysis and design documents, providing constructive feedback.
  • Assists in the preparation of technical design specifications grounded in functional requirements and analysis documents.
  • Demonstrates clear communication skills and possesses the ability to troubleshoot and resolve complex technical issues.
  • Works collaboratively with other development personnel to ensure quality and consistency.

Core Requirements:
  • 8-10 years experience
  • AWS Tools
  • Snowflake Database understanding
  • Python development with PySpark or Snowpark
  • IDE (Preferred - Visual Code Studios)
  • CI/CD (Preferred - GitHub Actions)
  • Code Management (Preferred - GitHub)
  • Cloud Databases (Preferred - Snowflake)
  • Scheduling tools (Preferred - Control M)
  • Data warehousing
  • Data Lake skills
  • Unix