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Data Implementation Engineer

@ Yochana

Toronto, Ontario

Full-time
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Requirements summary:

  • 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
Source and dates

Source type not verified · apify-linkedin

Employer posting date
2026-11-10
First seen by our source
2026-11-11
Source record updated
2026-11-11

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

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Job description

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

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