Databricks SME

Client: Databricks SME
Duration: 12 Months possibility of 2+yrs of extension
Location: Toronto, ON (Hybrid onsite) M5E1G4
PayRate Range: 55/hr - 75/hr

Must haves:

• 7-10+yrs of Strong hands-on experience with Azure Databricks, including PySpark-based data processing, optimization, and performance tuning in production environments


• Proven expertise in ETL development and data pipeline architecture, including building scalable data lakes and end-to-end pipelines on Azure
  Solid programming experience using Python, Scala, and SQL for Databricks and Spark-based development


• Hands-on experience with Azure data services, including Azure Data


• Factory (ADF), Azure SQL Database, and Azure Blob Storage / ADLS


• Experience handling production and confidential data, including data obfuscation, masking, or anonymization techniques


• Working knowledge of DevOps practices, including GitHub, CI/CD pipelines (GitHub Actions or similar), and ability to document solution designs and operational playbooks

Benefits:
The Company offers a total rewards package for this position that may include employer-sponsored benefits, where applicable and subject to eligibility requirements, such as supplemental health and dental coverage, life insurance, disability insurance, retirement or savings programs, paid time off, and other benefits.

The availability, structure, and scope of benefits may vary based on role, employment status, work location, and applicable federal and provincial laws. The Company provides all statutory entitlements, including public holidays, vacation, leaves of absence, and government-mandated benefits, in accordance with applicable law.

Screening/Selection Disclosure:
We may use AI-enabled and/or automated tools to support parts of our recruitment process, including application screening, interview scheduling, and candidate communications. These tools are used to enhance consistency and efficiency. All hiring decisions involve human review and are not based solely on automated processing.