Develop Python ETL pipelines and CI/CD operations onsite five days weekly, supporting accurate data delivery and robust partnerships with operational teams. Maintain clean, modular, testable solutions.

In this Data Engineer role, you will build and maintain multiple pipelines and a data warehouse, potentially operating as a one-person team. You will work with Python, SQL, SQL Server Integration Services, Git, and Terraform to move and manage data.

Your responsibilities include testing, deployment, validation, monitoring, technical documentation, code review, issue resolution, and systems configuration. You will participate in stakeholder discussions and maintain required development standards.

Key Responsibilities

Operate multiple pipelines and maintain the data warehouse

Write clean, modular, self-sustaining pipeline code

Develop documentation,



data catalogs, and update materials

Configure, test, deploy, and resolve pipeline issues

Maintain confidentiality, security, and integrity of data

Requirements

Two years of experience in data engineering or equivalent roles

Two years working with data engineering projects and ETL tools

Proficiency developing with Python and SQL

Experience with Azure or Microsoft on-premises environments preferred

Experience with BigQuery, Snowflake, or Databricks preferred

Bring Python development, ETL, CI/CD, and data validation expertise to dependable pipeline delivery and stakeholder-focused engineering onsite.

📌 Python ETL Data Pipeline Developer (Winnipeg)
🏢 Lahal Management
📍 Winnipeg