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Added 14 mins ago
Senior Software Engineer – DevTest / QA Automation
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Full-time
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Added 2 hours ago
Senior Azure Databricks Consultant
BURGEON IT SERVICES
Burnaby, BC
Contract
Build CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for jobs, notebooks, and infrastructure-as-code (Terraform/ARM/Bicep).

BURGEON IT SERVICES

Senior Azure Databricks Consultant

Burnaby, BC, Canada

Job type: Contract
Apply by: Oct 24, 2026
Posting language: English
Posted: Sep 24, 2026

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Original job description

Position: Senior Azure Databricks Consultant

Location: Burnaby Canada Hybrid

Duration: Long Term Contract

Job Description:

About the Role

We’re seeking an intermediate-level Azure Databricks Engineer to build and optimize scalable data pipelines, manage Delta Lake-based data products, and support analytics/ML workloads. You’ll collaborate with data engineers, analysts, and platform teams to deliver reliable, well-documented, and secure solutions on Azure.

Key Responsibilities

Design, build, and maintain PySpark/SQL pipelines in Azure Databricks for batch and streaming data.
Develop robust ingestion from Azure Data Lake Storage (ADLS Gen2), Azure Synapse/SQL, Event Hub, Kafka, and REST/JSON sources.
Optimize Spark jobs (partitioning, caching, broadcast joins, AQE) for performance and cost.
Implement monitoring and alerting (cluster/job metrics, driver/executor logs).
Use Databricks Repos, notebooks, and modular PySpark projects with unit tests (pytest).
Build CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for jobs, notebooks, and infrastructure-as-code (Terraform/ARM/Bicep).
Manage environments (dev/test/prod), secrets/Key Vault, and configuration promotion.

Required Qualifications (Intermediate Level)

6+ years in data engineering; 4+ years hands-on with Azure Databricks and Spark.
Strong PySpark and SQL skills: DataFrames, joins, window functions, UDFs, incremental loads.
Practical experience with Delta Lake, Unity Catalog, and Databricks Jobs/Workflows.
Familiarity with Azure services: ADLS Gen2, Azure Key Vault, Event Hub, Azure SQL/Synapse.
Version control (Git) and CI/CD experience; basic testing practices (pytest).
Ability to optimize Spark jobs and troubleshoot: skew, shuffle, OOM, driver/executor tuning.
Solid understanding of data modeling (star schema, medallion/lakehouse), partitioning, and file formats (Parquet/JSON).
Airflow, Azure Data Factory orchestration.
Terraform for Databricks & Azure resources.
Basic Scala and/or SQL Warehouses (Databricks SQL) for BI.

Education

Bachelor’s/Master’s in Computer Science, Engineering, or related field (or equivalent experience).

Certifications (Optional but Valued)

Databricks: Data Engineer Associate/Professional
Microsoft Azure: DP-203 (Data Engineering on Microsoft Azure), AZ-900 (Fundamentals)

Tools & Tech Stack (Typical)

Languages: Python (PySpark), SQL
Databricks: Notebooks, Jobs/Workflows, Repos, Unity Catalog, Delta Lake, MLflow
Azure: ADLS Gen2, Key Vault, Event Hub, Synapse/SQL, Monitor/Log Analytics
DevOps: Git, Azure DevOps/GitHub Actions, Terraform/Bicep

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More about this job

Responsibilities

Design, build, and optimize batch and streaming data pipelines in Azure Databricks, integrating data from Azure and external sources. Maintain Delta Lake data products, monitoring, testing, CI/CD, and secure environment configuration to support analytics and machine learning workloads.

Requirements

Requires 6+ years of data engineering experience, including 4+ years working hands-on with Azure Databricks and Spark, plus strong PySpark and SQL skills. Candidates should have experience with Delta Lake, Unity Catalog, Azure services, Spark troubleshooting and optimization, orchestration, Git-based CI/CD, and Terraform; a bachelor's or master's degree in a related field or equivalent experience is specified.

Skills

Azure Databricks
PySpark
SQL
Delta Lake
Unity Catalog
Azure Data Lake Storage Gen2
Apache Spark Optimization
Data Pipeline Development
CI/CD
Terraform
Git
Azure DevOps
Pytest
Data Modeling
Airflow
Azure Data Factory

Visa sponsorship

Not detected in the job text

Keywords

Azure Databricks
PySpark
SQL
Apache Spark
Delta Lake
Unity Catalog
Azure Data Lake Storage Gen2
Azure Synapse
Azure SQL
Azure Event Hubs
Kafka
REST APIs
JSON
Databricks Jobs and Workflows
Databricks Repos
Databricks SQL Warehouses
MLflow
Azure Key Vault
Azure Monitor
Log Analytics
Git
Azure DevOps
GitHub Actions
Terraform
Bicep
ARM Templates
Airflow
Azure Data Factory
Pytest
Medallion Architecture

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