Senior Data Engineer

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Location: Canada

Nexaminds is looking for a Senior Data Engineer to design, develop, and optimize scalable data solutions that support business-critical analytics and operational workloads. The ideal candidate has strong hands-on experience building modern data platforms, implementing data pipelines, and working with cloud-native technologies. This role is highly execution-focused, requiring strong technical expertise, ownership of data quality and performance, and the ability to collaborate effectively across engineering teams.

Qualifications we are looking for:

5–8 years of experience in data engineering, designing and delivering production-grade data solutions.

Strong expertise in Databricks for data processing, transformation, and analytics workloads.

Advanced Python and SQL programming skills with experience building scalable data pipelines.

Strong understanding of data modeling, data profiling, and data quality best practices.

Experience developing and maintaining Shell Scripts for automation and operational processes.

Hands-on experience working with cloud platforms, preferably Azure.

Experience with Azure Event Hub or similar event-streaming technologies.

Experience implementing Infrastructure as Code (IaC) using Terraform.

Familiarity with source control and artifact management tools such as GitHub and JFrog Artifactory.

Strong troubleshooting, performance optimization, and problem-solving skills.

Ability to collaborate effectively with cross-functional teams in an Agile environment.

Advanced English communication skills are required.

Job duties:

Design, develop, and maintain scalable data pipelines and data integration solutions using Databricks, Python, and SQL.

Build and optimize data models to support analytical, reporting, and business intelligence requirements.

Perform data profiling, validation, and quality assessments to ensure data accuracy and consistency.

Develop automation scripts and operational tooling using Shell Scripting and Python.

Implement and manage cloud-based data solutions within Azure environments.

Build and maintain event-driven data processing solutions leveraging Azure Event Hub and related technologies.

Develop and manage Infrastructure as Code using Terraform to support scalable and repeatable deployments.

Collaborate with data architects, software engineers, and business stakeholders to define and implement data solutions.

Manage source code repositories and deployment artifacts using GitHub and JFrog Artifactory.

Monitor, troubleshoot, and optimize data platform performance, reliability, and scalability.

Create and maintain technical documentation, operational procedures, and best practices for data engineering initiatives.