Join a contract team as a Data Implementation Engineer, implementing advanced data solutions in Toronto. This role requires expertise in SQL, Snowflake, and Python for data pipelines. This contract position takes place onsite three times a week in Toronto. The ideal candidate will have at least four years of data engineering experience, focusing on designing and optimizing data architectures for large financial datasets.

Key responsibilities include maintaining seamless data pipelines and applying data governance best practices. Key Responsibilities:
Build and maintain scalable data pipelines with Hadoop and PySpark
Optimize data architectures for large financial datasets
Produce high-quality Python and SQL code adhering to best standards




Integrate metadata management and lineage tracking features
Collaborate with stakeholders to deliver productive data solutions Requirements:
4+ years of Data Engineering experience required
Advanced skills in SQL and Python for optimal data use
Direct experience with Snowflake, Spark, and Azure platforms
Familiarity with orchestration and workflow management tools
Solid analytical and problem-solving skills Contribute your data engineering expertise to innovate financial data solutions in Toronto.

📌 Data Implementation Engineer In Toronto
🏢 Aarorn Technologies
📍 Toronto