Senior Data Engineer
The role involves designing and implementing data pipelines from legacy systems to Snowflake, including handling unstructured and semi-structured data. It also requires developing advanced SQL transformations and integrating machine learning with Snowflake.
- On-site
- Montréal, QC
- Posted Aug 11, 2026
- Apply by Sep 10, 2026
- 1 position
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Job summary
Hi, I hope you're doing well. I'm Naveen from DewSoftware, and we have an exciting open position that may interest you. Please share your updated resume, and I'll reach out to schedule a convenient time to connect. Job title: Snowflake engineer/data engineer Location: Montreal, QC, Canada-Onsite Duration: Long-term contract Snowflake: 8–10 years, data modeling, schema design, warehousing Snowflake REST API: required, with strong hands-on depth ETL: Informatica and/or Talend SQL / PL/SQL: advanced query and transformation development Python: scripting/data engineering Power BI: semantic model experience Data pipelines: legacy-to-Snowflake, including unstructured/semi-structured data Relational databases: DB2 or similar Distributed systems Data modeling & data warehousing ML integration with Snowflake Strong communication/cross-functional collaboration
What you’ll do
The role involves designing and implementing data pipelines from legacy systems to Snowflake, including handling unstructured and semi-structured data. It also requires developing advanced SQL transformations and integrating machine learning with Snowflake.
Requirements
Candidates need 8-10 years of experience with Snowflake, strong hands-on depth with the Snowflake REST API, and proficiency in ETL tools like Informatica or Talend. Advanced skills in SQL, Python scripting, and Power BI semantic modeling are also required.
Listed skills
- Power BIPreferred
- SQLPreferred
- PythonPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Snowflake
- Data Modeling
- Schema Design
- Snowflake REST API
- Informatica
- Talend
- SQL
- PL/SQL
- Python
- Power BI
- Data Pipelines
- DB2
- Distributed Systems
- Data Warehousing
- ML Integration
Job areas
- Data & Analytics
- Software
- Technology
- Engineering
Additional details
- Minimum experience
- 10+ years
- Apply by
- Sep 10, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available