GCP Data Engineer (Part-time)

Stacktics

Stacktics is looking for a part-time GCP Data Engineer to join their team, contributing to the development of industry-leading cloud solutions. The role supports the Data Systems team focusing on expanding machine learning applications while maintaining high quality standards.

In this role you can expect to have the responsibilities:

• Develop cloud-based infrastructure using Python, DBT, and SQL.
• Automate deployment processes for robust cloud platforms.
• Design ETL processes and manage large data volumes in ADF environment.
• Ensure data validation and implement security measures in data operations.
• Leverage orchestration tools and public cloud environments, particularly GCP.
• Work with big data technologies like Spark and Beam.
• Maintain exceptional client satisfaction and adapt to evolving client needs.

This role comes with the following benefits:

• Flexible remote working policy within Canada.

This role requires you to have:

• Experience with Python and SQL programming.
• Proficiency in data warehousing and modeling.
• Familiarity with CI/CD pipelines and cloud infrastructure.
• Ability to manage data validation and security controls.
• Competence in using orchestration tools like Airflow.

You would benefit from having:

• Experience with public clouds, preferably GCP.
• Understanding of digital ecosystems and marketing concepts.

Candidates must be permanent Canadian residents. The role offers a flexible remote working setup.