[Hiring] Senior Python ETL Pipeline Developer @DMS Vision

Role Description

Senior Python ETL Pipeline Developer (Remote)

Location: Remote

Duration: 6+ Months

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.

Qualifications

• 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

Requirements

• A minimum of 8 to 10 years of practical IT experience is required.
• Extensive experience developing ETL Pipelines using Python.
• Comprehensive knowledge of warehousing architecture techniques.
• Adherence to the company's software development lifecycle.
• Conducts technical validations and supports User Acceptance Testing (UAT).
• Demonstrates clear communication skills.

Company Description