Apply on Kit Job: kitjob.ca/job/2g8z6m

We are seeking a skilled Azure Databricks Engineer with robust experience in Azure Data Factory (ADF) to design, develop, and maintain scalable data pipelines and analytics solutions on the Azure cloud platform. The ideal candidate will have expertise in big data processing, ETL/ELT workflows, and distributed computing using Databricks.

Key Responsibilities

Design and implement scalable data pipelines using

Azure Data Factory (ADF)

Develop and optimize data processing workflows using

Azure Databricks (PySpark/Scala)

Build ETL/ELT processes for ingesting, transforming, and loading large datasets

Integrate data from multiple sources such as APIs, databases, and data lakes

Work with

Azure Data Lake Storage (ADLS)

and

Azure SQL Database

Monitor, troubleshoot, and optimize pipeline performance and data quality

Implement data security, governance, and compliance standards





Collaborate with data scientists, analysts, and stakeholders to deliver data solutions

Automate workflows and deployments using CI/CD pipelinesMaintain documentation for data architecture and processes

Required Skills & Qualifications

Bachelor’s degree in Computer Science, Engineering, or related field

10+ years of experience in Azure data engineering

Strong hands‑on experience with:

SQL and relational databases

Experience with big data technologies and distributed processing

Knowledge of data warehousing concepts and dimensional modeling

Familiarity with Azure services like:

Experience with version control (Git) and CI/CD tools

Strong problem‑solving and debugging skills

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Apply on Kit Job: kitjob.ca/job/2g8z6m

📌 Azure Databricks Engineer (Toronto)
🏢 Tredence
📍 Toronto