Remote Senior Data Engineer — Snowflake/NiFi for Workday Migration

Focus on WD

Toronto

Hybrid

CAD 110,000 - 165,000

Full time

4 days ago
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Job summary

Focus on WD is seeking a Senior Data Engineer to lead a major enterprise migration project. You will design and implement robust data pipelines using Snowflake, NiFi Openflow, and Python/SQL to migrate HR data from UKG into Workday.

This role emphasizes data quality, governance, and secure handling of confidential employee information. The position involves ownership of end-to-end pipeline delivery, validation, and reconciliation across enterprise systems, with a fully remote setup based in

Qualifications

  • Strong hands-on Snowflake engineering experience.
  • Experience designing data pipelines with Apache NiFi / Snowflake Openflow.
  • Advanced SQL and Python development skills.
  • Experience with HR/HCM platforms such as Workday, UKG, SAP, Oracle, or PeopleSoft.
  • Knowledge of data migration, metadata mapping, and data transformation.
  • Understanding of data quality, reconciliation, governance, and security.

Responsibilities

  • Design, develop, and optimize automated data ingestion pipelines using Snowflake Openflow / NiFi.
  • Build Snowflake-native transformations using SQL, streams, tasks, and MERGE operations.
  • Develop Python and SQL solutions for data transformation, automation, and reconciliation.
  • Support migration of enterprise documents and metadata from UKG ECM into Workday EDM.
  • Implement data validation, deduplication, quality checks, and reconciliation processes.
  • Ensure secure handling of confidential employee information.

Skills

Snowflake
NiFi
Python
SQL
Workday
HR systems
Data quality
Data governance
Security

Tools

Snowflake Openflow
Apache NiFi

Job description

Focus on WD is seeking a Senior Data Engineer to lead a major enterprise migration project. You will design and implement robust data pipelines using Snowflake, NiFi Openflow, and Python/SQL to migrate HR data from UKG into Workday.

This role emphasizes data quality, governance, and secure handling of confidential employee information. The position involves ownership of end-to-end pipeline delivery, validation, and reconciliation across enterprise systems, with a fully remote setup based in

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