Senior Data Engineer

Nexaminds is an AI-focused company developing solutions to transform businesses, streamline processes, and drive growth. The company is seeking a Senior Data Engineer to design, develop, and maintain scalable data solutions in Microsoft Azure and Databricks, including data pipelines, modeling, modernization, and enterprise data strategy initiatives.

Responsibilities:

• 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
• 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