Senior Data Engineer (Azure, Databricks, PySpark) | Talent Community
Location: Greater Toronto Area, Ontario
Work arrangement: Hybrid (typically 4 days on site)
Engagement: Contract, with extension and conversion possible based on performance and business needs
Expected pay: [$70 to $100 per hour, based on experience]
About this posting:
This posting is intended to build a talent pool for future hiring needs. We don't have an immediate opening for this role today, but we will review every application and reach out as relevant opportunities arise.
About the opportunity:
Infotek Consulting Services Inc. is connecting senior data engineers with upcoming contract and contract-to-hire opportunities at leading Canadian financial institutions.
What you could be working on:
- Leading the technical side of data migration and modernization projects, from design through deployment
- Moving workloads and reporting from Azure Synapse to Azure Databricks and the lakehouse
- Building and optimizing PySpark and SQL pipelines on Azure
- Improving query performance and runtimes on large data sets
- Documenting design options, data schemas and solutions in line with SDLC best practices
What we're looking for:
- 8+ years in data engineering, with strong hands-on Azure experience
- PySpark (or strong Python) and advanced SQL
- Azure Databricks, with Unity Catalog and Azure Synapse as strong assets
- Azure Data Factory, ADLS and Delta Lake experience
- Power BI and/or Tableau for reporting and data visualization
- Comfort reading and writing technical documentation, including data schemas, metadata and ERDs
- Banking or financial services experience is a strong asset
- Degree or diploma in computer science, engineering, math or a related field
- Clear communicator who is curious and adapts quickly to new tools
How to apply:
Submit your resume through LinkedIn. If your background aligns, we'll be in touch.
A note on our use of AI:
Infotek Consulting uses AI-assisted tools in our screening process to collect basic application details, flag plagiarism and inconsistencies in employment history or references, categorize your skills, and complete an initial match against our job postings.
Background checks will be conducted for candidates who move forward.
