Senior ETL Developer — Azure & Databricks Data Warehouse

Infotek Consulting Inc.

Toronto

On-site

CAD 110,000 - 160,000

Full time

15 hours ago
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Job summary

Infotek Consulting Inc. seeks an experienced Senior ETL Developer to design, develop, and maintain data pipelines for data warehousing, BI, and analytics. The role requires strong Microsoft Azure, Databricks, AWS, SQL, and ETL development expertise, with a focus on data integration and performance optimization.

The successful candidate will design data models for warehouses, implement scheduling workflows, and collaborate with stakeholders across the SDLC in an onsite Ontario office.

Qualifications

  • Experience designing ETL pipelines for data warehousing and analytics.
  • Strong Azure expertise including Azure Data Factory and Azure SQL Database.
  • Hands-on Databricks and AWS tech (Aurora, RDS, Glue, OpenSearch).
  • Proven ability to implement ETL scheduling and dependencies.
  • Strong SQL development and data modeling for data warehouses.

Responsibilities

  • Design, develop, and maintain ETL pipelines and data integration.
  • Build data warehouse and BI applications with scalable performance.
  • Define scheduling, dependencies, and automated processing workflows.
  • Collaborate with stakeholders and teams throughout the SDLC.
  • Produce technical docs including mappings and data models.

Skills

Azure
Power BI
Databricks
AWS
SQL
ETL development
Data integration
Data modeling
Performance tuning
Git
Requirements gathering
SDLC
Analytical thinking
Communication skills

Tools

Azure Data Factory
Azure SQL Database
Azure Data Lake
Amazon Aurora
OpenSearch
Amazon RDS
Git
PowerShell

Job description

Infotek Consulting Inc. seeks an experienced Senior ETL Developer to design, develop, and maintain data pipelines for data warehousing, BI, and analytics. The role requires strong Microsoft Azure, Databricks, AWS, SQL, and ETL development expertise, with a focus on data integration and performance optimization.

The successful candidate will design data models for warehouses, implement scheduling workflows, and collaborate with stakeholders across the SDLC in an onsite Ontario office.

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