Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Recrute Action Inc. via Indeed
Senior Azure Data Engineer
Drive enterprise data governance initiatives within a dynamic insurance environment focused on Azure cloud technologies, automation, and large-scale data platforms. This hybrid Toronto-based opportunity offers exposure to global projects, AI-related initiatives, and collaborative Agile teams supporting data quality, governance, and operational excellence.
What is in it for you:
- Salaried: $75-85 per hour.
- Incorporated Business Rate: $85-95 per hour.
- 6-month contract with the potential for permanent employment.
- Full-time position: 37.50 hours per week.
- Schedule from 9 am to 5 pm.
- Hybrid: 3 days/week in Toronto office.
Responsibilities:
- Design and implement scalable data governance frameworks.
- Build, operationalize, and automate data pipelines using Azure Data Factory and Azure Databricks.
- Develop and maintain metadata management and cataloging solutions using Databricks Unity Catalog and Informatica CDGC.
- Engineer and enforce data quality controls and monitoring systems.
- Advance and maintain end-to-end data lineage using governance tools.
- Implement role-based access control, data masking, and privacy controls.
- Conduct performance analysis, optimization, and capacity planning for large-scale data processing workloads.
- Drive continuous improvement initiatives related to data governance and data engineering.
- Collaborate with cross-functional and global teams to align data initiatives with enterprise strategy.
- Operate within Agile and Scrum methodologies using Teams, JIRA, and Mural.
- Support production release cycles and operational support activities.
- Collaborate with Data Stewards to support the data quality lifecycle, including business requirements gathering, technical rule application, and remediation support.
What you will need to succeed:
- Bachelor’s degree in Computer Science, Information Systems, Data Management, or a related field.
- 6 years of experience as a Data Engineer or in a similar data-focused role.
- Strong expertise with Azure cloud services, including Azure Data Factory, Azure Databricks, ADLS Gen2, Azure Synapse, and Azure SQL or SQL Server.
- Hands-on experience with Databricks Unity Catalog for governance, lineage, and security management.
- Experience with Informatica CDGC for metadata management and lineage.
- Strong proficiency in SQL and Python.
- Familiarity with Java or Scala for distributed data processing.
- Solid understanding of data warehousing, relational data modeling, ETL and ELT development, and cloud-native data engineering patterns.
- Experience with DevOps and CI/CD pipelines for automating data workflows.
- Familiarity with Power BI for dashboard creation, data modeling, and business intelligence support.
- Strong understanding of data security practices, including RBAC, encryption, and data masking.
- Experience with automation and scripting using Python, PowerShell, or similar tools.
Why Recruit Action?
Recruit Action (agency permit: AP-2504511) provides recruitment services through quality support and a personalized approach. As part of the screening process, some applications may be reviewed using artificial intelligence tools. Only candidates who meet the hiring criteria will be contacted.
#RA1
Pay: $75.00-$95.00 per hour
Benefits:
- Work from home
Application question(s):
- Are you comfortable reporting to the office 3 days per week?
- Do you have a Bachelor’s degree in Computer Science, Information Systems, Data Management, or a related field? If yes, please specify the field of study.
Education:
- Bachelor's Degree (required)
Experience:
- Data Engineer or in similar data-focused roles: 6 years (required)
- ADF, Databricks, ADLS Gen2, Synapse, Azure SQL/SQL Server: 1 year (required)
- Databricks Unity Catalog: 1 year (required)
- Informatica CDGC for metadata management and lineage: 1 year (required)
- SQL and Python: 1 year (required)
- Java or Scala for distributed data processing: 1 year (required)
- Data warehousing, ETL/ELT, and data modeling: 1 year (required)
- DevOps and CI/CD pipelines: 1 year (required)
- Power BI and BI reporting: 1 year (required)
- Data security practices (RBAC, encryption, masking): 1 year (required)
- Automation/Scripting, Python, PowerShell, or similar tools: 1 year (required)
Work Location: Hybrid remote in Toronto, ON M4W 1E5