Toronto's Data Implementation Engineer

Position: Toronto's Data Implementation Engineer Contract
Take on a contract role as a Data Implementation Engineer in Toronto. Emphasizing advanced SQL and data pipeline skills, you'll work with Snowflake and Azure on financial datasets.

This position, requiring onsite presence three days a week, looks for candidates with over four years of data engineering experience. You will design and optimize data architectures, implement robust pipelines, and ensure data governance as part of your engineering practice in financial contexts.

Key Responsibilities:

• Design and maintain data pipelines using Spark, PySpark, and Hadoop

• Optimize workflows for large financial datasets with Azure

• Write and maintain high-quality Python and SQL code

• Implement data governance practices and lineage tracking

• Collaborate on innovative data pipeline solutions

Requirements:

• At least 4 years of relevant Data Engineering experience

• Proficient in SQL and Python for effective data handling

• Significant experience with Snowflake, Hadoop, and Spark

• Understanding of orchestration tools and management systems

• Expertise in data governance methodologies

Utilize your data engineering skills to drive financial data solutions in Toronto.
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