Senior Data Engineer

Unlock Your Future with Nexaminds! At Nexaminds, we're on a mission to redefine industries with AI. We're passionate about the limitless potential of artificial intelligence to transform businesses, streamline processes, and drive growth. Join us on our visionary journey. We're leading the way in AI solutions, and we're committed to innovation, collaboration, and ethical practices. Become a part of our team and shape the future powered by intelligent machines. If you're driven by ambition, success, fun, and learning, Nexaminds is where you belong. Location: CANADA Nexaminds is looking for a Senior Data Engineer to design, develop, and maintain scalable data solutions within a Microsoft Azure and Databricks environment. The ideal candidate has strong hands-on experience with Databricks, Azure, and data modeling, and is comfortable working on complex data engineering initiatives in a collaborative, Agile environment. Job duties: * Design, develop, and maintain scalable data solutions using Databricks, Azure, and Microsoft technologies. * Develop and maintain data pipelines for ingestion, transformation, integration, and data consumption. * Design and implement conceptual, logical, and physical data models based on business and technical requirements. * Implement data architecture patterns and standards established by Principal Engineers and Architects. * Contribute to data modernization, migration, and consolidation initiatives. * Support the decomposition and transformation of legacy data structures and applications. * Develop scalable and maintainable data solutions that support complex business domains. * Collaborate with Principal Engineers, Architects, and Engineering teams to implement enterprise data strategies. * Troubleshoot and optimize data pipelines, models, and platform components for performance, reliability, and scalability. * Apply data quality and validation practices to ensure data accuracy and consistency. * Participate in code reviews and contribute to engineering standards and reusable solutions. * Work with cross-functional teams to understand requirements and translate them into technical solutions. * Document data models, technical solutions, and implementation decisions. * Support continuous improvement of data engineering practices, architecture, and platform capabilities. Requirements: * 5+ years of experience in Data Engineering or a related technical discipline. * Strong hands-on experience with Databricks. * Strong experience working with Microsoft Azure. * Strong knowledge of the Microsoft data ecosystem. * Solid understanding of conceptual, logical, and physical data modeling. * Experience designing and implementing scalable data solutions and data pipelines. * Experience with data ingestion, transformation, integration, and downstream data consumption. * Experience working with relational and/or NoSQL databases. * Experience contributing to data migration, modernization, or re-platforming initiatives. * Understanding of data architecture and how data models support business domains and applications. * Ability to translate business and technical requirements into effective data solutions. Nice to have: * Experience with domain modeling or domain-oriented data architecture. * Experience with multi-tenant data solutions. * Experience consolidating or migrating data from multiple databases or legacy systems. * Experience with Azure Data Factory, Azure Synapse, Azure SQL, Microsoft Fabric, or Power BI. * Experience with Python, SQL, or PySpark. * Experience with CDC / Change Data Capture, event-driven architectures, or messaging. * Experience with data quality, governance, metadata, or data discovery. What you can expect from us Here at Nexaminds, we're not your typical workplace. We're all about creating a friendly and trusting environment where you can thrive. Why does this matter? Well, trust and openness lead to better quality, innovation, commitment to getting the job done, efficiency, and cost-effectiveness. * Stock options 📈 * Remote work options 🏠 * Flexible working hours 🕜 * Benefits above the law * But it's not just about the work; it's about the people too. You'll be collaborating with some seriously awesome IT pros. * You'll have access to mentorship and tons of opportunities to learn and level up. Ready to embark on this journey with us? 🚀🎉 If you're feeling the excitement, go ahead and apply!

Design, develop, and maintain scalable data pipelines and models using Microsoft Azure and Databricks. Collaborate with engineering teams to integrate enterprise data sources and optimize data processing workflows for performance and reliability.

Requires 5+ years of experience in data engineering with strong hands-on proficiency in Databricks and Python or PySpark. Candidates must have solid experience in data modeling and building scalable data solutions within the Microsoft Azure ecosystem.

• Stock options • Remote work options • Flexible working hours • Mentorship opportunities

• Microsoft AzurePreferred
• Technical DocumentationPreferred
• SQLPreferred
• AgilePreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Data Engineering
• Databricks
• Azure
• Python
• PySpark
• Data Modeling
• SQL
• Data Pipelines
• Data Integration
• Data Transformation
• Cloud Computing
• Agile
• Data Governance
• Performance Optimization
• Technical Documentation
• Pipelines
• Azure Data Factory
• Workflow Management
• Go (Programming Language)
• Azure Synapse Analytics
• Microsoft Fabric
• Technology Ecosystems
• Ethical Standards And Conduct
• Agile Methodology
• Artificial Intelligence
• Microsoft Azure
• Business Requirements
• Code Review
• Data Processing
• Data Migration
• Data Quality
• Data Structures
• Document-Oriented Databases
• Governance
• Scalability
• Innovation
• Python (Programming Language)
• Mentorship
• Power BI
• SQL (Programming Language)
• Troubleshooting (Problem Solving)
• Visionary
• Reliability
• Data Ingestion

• Data & Analytics
• Software
• Technology
• Engineering
• Data Engineer
• Software Developers
• Database Administrators

Minimum experience

5+ years

Posting language

English

Working hours

40 hours per week