Senior Data Engineer
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Nexaminds is looking for a Senior Databricks Engineer to lead the development, optimization, and scaling of our data solutions. The ideal candidate has hands-on expertise building end-to-end pipelines on Databricks and enjoys working in a fast-paced, highly collaborative environment.
Location: CANADA
Qualifications we are looking for:
5+ years of experience in data engineering or similar roles.
Strong expertise with Databricks (Spark, Delta Lake, Workflows, SQL).
Experience building production-grade ETL/ELT pipelines.
Proficiency in Azure DevOps (ADO) pipelines and enterprise secret
management.
Solid understanding of the Microsoft ecosystem and cloud platforms, with a
focus on Azure architecture, authentication, and identity concepts.
Proficiency in Python and/or Scala.
Experience with data modeling, data warehousing, and distributed computing.
Job duties:
Design, build, and maintain scalable data pipelines using Databricks (SQL,
Python, Spark).
Develop and manage CI/CD workflows using Azure Pipelines, integrating Azure
Key Vault (KV) for secure secret and credential management.
Optimize ETL/ELT processes for performance, reliability, and cost efficiency.
Implement best practices for data quality, governance, and cloud security.
Collaborate with data engineers, analysts, and stakeholders to define data
requirements.
Troubleshoot and resolve issues across data workflows and distributed systems.
Support migration, modernization, or cloud data platform initiatives.