Analytics Engineer
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Job description
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
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