Senior Data Engineer - Azure Databricks & Spark Job at Burgeon IT Services, Canada

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  • Burgeon IT Services
  • Canada

Job Description

Salary: $88,000 - 128,000 per year Requirements:

  • 10+ years of overall experience with 8+ years in relevant roles
  • Proficient in Azure Databricks
  • Experienced with Azure Data Factory (ADF)
  • Strong knowledge of Apache Spark
  • Extensive background in ETL and Data Engineering
  • Familiarity with SQL and data warehousing
  • Understanding of cloud-based data architecture
  • Excellent problem-solving abilities and communication skills
Responsibilities:
  • Design and implement ETL pipelines utilizing Azure Data Factory (ADF)
  • Construct scalable workflows for data ingestion and transformation based on business criteria
  • Develop data processing solutions employing Azure Databricks and Apache Spark
  • Work closely with business teams to collect and confirm data requirements
  • Conduct data profiling, cleansing, validation, and quality assurance checks
  • Enhance data pipelines for maximum performance, reliability, and scalability
  • Generate and maintain Power BI reports and dashboards for operational insights
  • Diagnose data issues and ensure accuracy throughout the pipelines
  • Document workflows, solutions, and best practices for future reference
Technologies:
  • Azure
  • Cloud
  • Databricks
  • ETL
  • Power BI
  • SQL
  • Spark

More:

We are a dynamic company based in Calgary, Canada, offering the opportunity to work remotely. Our focus is on developing scalable data integration solutions using cutting-edge technologies such as Azure Data Factory, Azure Databricks, and Apache Spark. We collaborate with business stakeholders to deliver reliable analytics, ensuring high data quality. Join us to be part of a talented team dedicated to driving innovative data solutions.

last updated 4 week of 2026

Job Tags

Full time, Remote work,

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