Elevate analytics as a skilled Data Engineer, designing and maintaining robust data pipelines and warehousing solutions. Leverage cloud platforms and ETL processes to enhance data processing efficiency.
This role calls for a proficient Data Engineer focused on up-to-date data warehousing and cloud technologies. Candidates will design and manage scalable data pipelines using Python and PySpark while collaborating with data scientists and business stakeholders. Responsibilities also include optimizing SQL queries and ensuring compliance with data governance standards.
Key Responsibilities:
• Design and develop data pipelines using Python and PySpark
• Optimize SQL for ETL processes and data extraction
• Implement data warehousing solutions with Snowflake
• Monitor data applications on OpenShift platforms
• Collaborate with stakeholders to define data requirements
Requirements:
• Proven experience in data engineering roles
• Strong skills in Python, SQL, and data warehousing
• Familiarity with Snowflake and OpenShift
• Bachelor’s or Master’s degree in related fields
• Excellent problem-solving and communication abilities
Drive impactful data solutions while managing robust pipelines and cloud-based infrastructures in a dynamic environment.
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Apply on Kit Job: kitjob.ca/job/2g95fm
📌 Data Engineer with Cloud and ETL Expertise (Mississauga)
🏢 Synechron
📍 Mississauga
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