Title: Data Implementation Engineer Location: Toronto, Canada Duration: 6-12 months and then keep renewing based on performance/requirements Hybrid 3 days from client office in Ethoca office Key Skills: Snowflake, PySpark, Azure, DevOps Domain: BFSI preferred

Skills & Qualifications:

4+ years of Data Engineering experience Advanced SQL; experience with relational and NoSQL databases Strong experience with Snowflake, Hadoop, Spark, PySpark, Databricks, Azure Proficiency in Python for data engineering Familiarity with orchestration tools and workflow management systems Responsibilities:

Design, build, and maintain scalable data pipelines using Snowflake, Hadoop, Spark, PySpark, Azure Implement data architectures and optimize workflows for large financial datasets Write high-quality, maintainable Python and SQL code following best practices Integrate data governance, metadata management, and lineage tracking into solutions

This job is open for fulltime as well.