Data Implementation Engineer ( Snowflake, Hadoop, Python)

Position Name – Data Implementation Engineer Type of hiring – Fulltime/Subcon Location – Toronto, ON (3 days from client office in Ethoca office) Job Description: 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

The Data Implementation 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 4+ years of data engineering experience with strong skills in SQL and proficiency in Python. Familiarity with Snowflake, Hadoop, and orchestration tools is also required.

Identified from the job description. Confirm important requirements above.

• Data Engineering
• SQL
• Snowflake
• Hadoop
• Spark
• PySpark
• Databricks
• Azure
• Python
• Orchestration Tools
• Workflow Management Systems

Minimum experience

5+ years

Apply by

Aug 12, 2026