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 Work Experience and Technical Requirements - 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 Originally posted on Himalayas