Senior ETL Developer

6 days ago

Greater Toronto Area, Canada Randstad Digital Full time

About the role

Our client, an innovative industry leader in the insurance domain is looking for a Senior ETL Developer - Hybrid to join their growing team.

The successful Senior ETL Developer - Hybrid candidate will have extensive experience building reliable, scalable, and efficient data pipelines to operationalize high-quality data solutions that support enterprise reporting,

analytics, and decision-making.

This is a full time permanent role and hybrid, 3 days per week in office (Oakville). Candidates must be based in and legally eligible to work for any employer in Canada. 2 Managerial references required; Criminal, Credit, Education, and Employment backchecks required.

Key Note & Application Instructions

To apply, send your current CV directly to
SHERYL.SAN..COM
.

Please note:
Due to high application volumes, only candidates who meet the outlined requirements will be contacted for further discussion.

Advantages

Work on a dynamic team with cutting-edge technology on innovative products in the insurance domain. Our client offers a competitive salary and benefits package. The Great Place to Work Institute has named our client one of Canada's Top 50 Best Workplaces, Best Workplaces in Canada for Financial Services & Insurance, Best Workplaces in Canada for Women, Best Workplaces in Canada for Inclusion and Best Workplaces in Canada for Mental Wellness. They are also recognized as one of Achievers' 50 Most Engaged Workplaces in North America.

Responsibilities

The successful Senior ETL Developer - Hybrid candidate will have extensive experience building reliable, scalable, and efficient data pipelines to operationalize high-quality data solutions that support enterprise reporting,

analytics, and decision-making.

Qualifications

Must-have Qualifications

  • Data modeling in BI/Analytics, data warehouses, or data marts - 5-7Y+
  • Data modeling tools such as ER/Studio, Erwin, or equivalent (which ones?) - 3-5Y+
  • Relational and dimensional modeling (star/snowflake schemas) - 3-5Y+
  • Scalable BI/Analytics data structures - 3-5Y+
  • Advanced SQL, SQL Server and related MS stack components - 3-5Y+
  • Designing and implementing data models that support Power BI - 3-5Y+
  • Synapse, Azure Data Factory Databricks, or SSIS (please list) - 3-5Y+
  • Azure cloud data services like Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage (ADLS), and Delta Lake (please list) - 2-4Y+
  • Metadata management, data lineage, and data governance frameworks - 3-5Y+
  • Bachelor's degree in CompSci, Information Systems, Data Science, or related - 3-4Y+

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