Data Engineer

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.

The Data Engineer will design, build, and maintain scalable data pipelines using various technologies. They will also implement data architectures and optimize workflows for large financial datasets.

Candidates should have over 4 years of Data Engineering experience with strong skills in SQL and various data technologies. Proficiency in Python and familiarity with orchestration tools are also required.

Identified from the job description. Confirm important requirements above.

• Snowflake
• Pyspark
• Azure
• Devops
• SQL
• NoSQL
• Hadoop
• Spark
• Databricks
• Python
• Orchestration Tools
• Workflow Management

Minimum experience

5+ years

Apply by

Aug 12, 2026