Data Engineer

• Design, develop, and maintain scalable data pipelines using Databricks and Azure.
• Develop and maintain data models to support business and analytical requirements.
• Perform data ingestion, transformation, and integration across enterprise data sources.
• Develop efficient and reusable data engineering solutions.
• Monitor and troubleshoot data pipelines and resolve performance or data quality issues.
• Collaborate with architects and engineering teams to implement data platform solutions.
• Translate business requirements into technical data solutions.
• Optimize data processing workflows for performance, scalability, and reliability.
• Follow established data engineering, security, quality, and governance standards.
• Participate in code reviews and contribute to engineering best practices.
• Support data migration, modernization, and platform enhancement initiatives.
• Document data pipelines, models, processes, and technical solutions.

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., * 5+ years of experience in Data Engineering or a related technical discipline.

• Strong hands-on experience with Databricks.
• Experience with Python or PySpark.
• Solid experience with data modeling, including designing and implementing data structures for analytical and operational use cases.
• Experience building and maintaining data solutions on Microsoft Azure.
• Strong understanding of the Microsoft technology ecosystem.
• Experience developing scalable data pipelines and data transformation processes.
• Strong SQL skills and experience working with large datasets.
• Nice to have: Experience with Azure Data Factory, Azure Synapse Analytics, Azure SQL, Microsoft Fabric, or Power BI.

Design, develop, and maintain scalable data pipelines and models in Databricks and Microsoft Azure. Perform data ingestion, transformation, integration, migration, and modernization across enterprise data sources. Monitor and optimize pipeline performance, reliability, and data quality. Translate business requirements into technical solutions, collaborate with architects and engineers, follow security and governance standards, participate in code reviews, and document data platforms and processes. The summary above was generated by AI

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., 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.