Senior Data Engineer
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Location: MEXICO
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Eligibility Notice This position is only open to candidates who are Mexican citizens currently residing in Mexico. Applications from candidates who do not meet this legal and operational requirement will not be considered. We appreciate your interest and encourage you to apply to roles that match your location.
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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.
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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.