Querentia®Talent · Trust · Thrive
Data & AI

Senior Data Engineer – Azure & Databricks

Remote · CanadaContract · Remote 2 months ago

Engagement

Contract

Remote

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About the role

Senior Data Engineer - Azure & Databricks

Job Summary

We are seeking a highly skilled Senior Data Engineer with strong hands-on expertise in Azure cloud data engineering and Databricks-based pipeline development. The ideal candidate will have extensive experience building scalable, high-performance data pipelines and modern data platforms using Azure-native technologies.

This is a core data engineering role focused on large-scale ETL/ELT development, orchestration, optimization, and cloud data platform engineering - not an analytics or machine learning-focused position.

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT data pipelines on Microsoft Azure.
  • Build and optimize data processing workflows using Databricks and PySpark.
  • Develop and support data integration solutions using Azure data services including: ADLS
  • ADF
  • Synapse
  • Databricks

Required Qualifications

  • Strong hands-on experience with Microsoft Azure data engineering services.
  • Extensive experience with Databricks and Spark-based processing frameworks.
  • Strong proficiency in PySpark and SQL development.
  • Experience building end-to-end ETL/ELT pipelines and scalable cloud data solutions.
  • Expertise in large-scale data processing and performance tuning.
  • Strong understanding of data orchestration, monitoring, and troubleshooting practices.
  • Experience implementing CI/CD and DevOps processes for data engineering workflows.
  • Strong analytical and problem-solving skills.

Preferred Qualifications

  • Experience working in enterprise-scale cloud migration or modernization initiatives.
  • Exposure to modern lakehouse or distributed data architectures.
  • Experience supporting high-volume data processing environments.

Key Skills & Competencies

  • Azure Data Engineering
  • Databricks & PySpark
  • ETL / ELT Pipeline Development
  • Azure Synapse, ADF & ADLS
  • SQL & Data Modeling
  • Spark Performance Optimization
  • Data Orchestration & Monitoring
  • CI/CD & DevOps for Data Workflows

This engagement is managed end-to-end by Querentia. Our recruiters give you honest feedback at every stage, prepare you for the interview, and support a smooth onboarding once you land the offer.

Skills

AzureData Engineering