Data Integration Engineer ( Snowflake, SSIS, ETL, Databricks) - Mississauga, ON

Zodiac Solutions - 34 emplois

Toronto, ON

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Role: Data Integration Engineer (Snowflake, SSIS, ETL, Databricks)

Location: Mississauga, ON

Type: Long term contract

Key Responsibilities:

Develop and maintain ETL/ELT pipelines and data integrations.
Build and optimize Snowflake data models and pipelines.
Create and manage SSIS packages for data movement and transformations.
Use Databricks for scalable data processing and automation.
Implement and support Data Warehouse solutions.
Ensure data quality, governance, and performance across the pipeline.
Troubleshoot, optimize, and document data workflows.

Required Qualifications:

8+ years' experience as a Data Engineer.
Strong hands-on experience with Snowflake, SSIS, ETL, and Databricks.
Solid understanding of DWH concepts (fact/dimension modeling, schemas, governance).
Advanced SQL skills.
Experience with cloud platforms (Azure/AWS/GCP) is an asset.

Nice-to-Have

Python for scripting and automation.
Experience with CI/CD, dbt, Airflow, or other orchestration tools.
Familiarity with BI tools (Power BI, Tableau).

Thanks,Sanjay Kumar[email protected]

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Foire aux questions

Where is this Data Integration Engineer role located and what is the employment type?

This is a long-term contract role based in Mississauga, ON.

What are the main technologies I would work with in this role?

The role focuses on ETL/ELT pipelines, Snowflake data models, SSIS packages, and Databricks for scalable data processing and automation.

What kind of data work will I be responsible for in this position?

You will develop and maintain ETL/ELT pipelines, build and optimize Snowflake data models, manage SSIS packages, and implement data warehouse solutions while ensuring data quality and governance.

What are the required qualifications for this role?

The role requires 8+ years as a Data Engineer with strong hands-on experience in Snowflake, SSIS, ETL, and Databricks, plus advanced SQL and knowledge of data warehouse concepts.

Is there any cloud platform experience preferred for this job?

Experience with cloud platforms (Azure/AWS/GCP) is considered an asset.

Are there any nice-to-have skills that could help in this role?

Nice-to-have skills include Python for scripting, CI/CD, dbt, Airflow or other orchestration tools, and familiarity with BI tools like Power BI or Tableau.