分析工程师

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