Analytics Engineer

About the Role

The Senior Software Engineer is responsible for designing, developing, and maintaining end-to-end data solutions that support enterprise-wide data consistency and analytics. This role covers the full stack—from Java-based web applications and APIs to scalable data pipelines and data warehouse modeling. You will work closely with cross-functional teams to enable business stakeholders to access reliable, well-structured data and make informed, data-driven decisions.

Scope of Work and Responsibilities

• Design, develop, and maintain a Master Data Management (MDM) web application using Java
• Build and maintain Master and Reference Data APIs to support organization-wide data consistency
• Develop and support both frontend and backend components of applications
• Design and implement scalable data pipelines to extract data from multiple source systems and transform it within the data warehouse
• Model data using dimensional modeling techniques (e.g., Kimball methodology)
• Collaborate with data analysts and business stakeholders to gather requirements and deliver actionable insights
• Ensure data accuracy, integrity, and reliability through validation and data quality checks
• Participate in Agile delivery practices, including Scrum and Kanban ceremonies
• Produce high-level and detailed technical designs for data and software solutions
• Apply best practices in coding, testing, deployment, and CI/CD pipelines
• Stay current with software engineering and data platform trends and recommend process or technology improvements
• Perform other related tasks as assigned

Educational Requirements

• Bachelors degree in Information Technology, Computer Science, Engineering, or a related field

• At least five (5) years of experience in a senior software engineering role
• At least five (5) years of experience in system architecture, design, and development of integrated systems
• Proven experience developing Java-based web applications
• Strong understanding of dimensional data modeling techniques
• Hands-on experience with relational databases such as Microsoft SQL Server
• Proven experience building data pipelines using Python, PySpark, and SQL
• Familiarity with the software development lifecycle and project management methodologies
• Experience working in Agile environments (Scrum and/or Kanban)
• Familiarity with cloud platforms such as Microsoft Azure or AWS
• Experience with Azure DevOps is preferred
• Experience with MDM platforms (e.g., TIBCO EBX) is an advantage
• Experience with Azure cloud services and CI/CD pipelines is an advantage
• Certifications in Secure Coding, Scrum, or DevOps are a plus