Sr. Databricks Engineer @ Toronto, ON, Canada.(Must have: PySpark, Python, SQL, ETL, ML, cloud platforms)12 months contract - Direct client...

  • Toronto, ON
  • Posted 15 hours ago | Updated 15 hours ago

Overview

Hybrid
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

PySpark
Python
SQL
ETL
Machine Learning
cloud platforms

Job Details

Who can apply? - Candidate located in CANADA only. 100% remote opportunity.

Requirement-
  • 5+ years of experience in a data engineering or ML engineering role
  • Strong proficiency in Python, PySpark, and SQL
  • Hands-on experience with ETL development and data pipeline orchestration
  • Familiarity with basic machine learning concepts and model lifecycle
  • Solid understanding of data warehousing and distributed systems

Nice to have

  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform)
  • Exposure to tools like Airflow, dbt, or MLflow
  • A strong sense of data ownership and intellectual curiosity.
Key Responsibilities:-
  • Develop and maintain scalable data pipelines using Python, PySpark, and SQL
  • Design, implement, and optimize ETL workflows to support analytics and ML models
  • Collaborate with data scientists and analysts to ensure high-quality, accessible data
  • Support the deployment of ML models into production environments- Implement data quality checks, monitoring, and validation
  • Stay curious explore new datasets, uncover patterns, and contribute to data-driven innovation
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