Location: United States
N
Nexamindsvia Greenhouse
Senior Data Engineer
United StatesPosted 6d ago
Data EngineerSeniorFull-time
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About the Role
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.
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 t
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