Description

Responsibilities

 

• Collect, analyze, and interpret large datasets to identify trends, patterns, risks, and actionable insights.
• Design and implement data-driven solutions that address business and operational problems.
• Develop, enhance, and maintain scalable Java-based microservices using Spring Boot.
• Apply multithreading and concurrency concepts to improve application performance, responsiveness, and reliability.
• Develop and maintain data pipelines that support efficient, accurate, and traceable data processing.
• Work with databases and cloud-based data storage solutions to support data access, integration, and analysis.
• Use Hadoop, Spark, and related technologies where appropriate for large-scale data processing.
• Collaborate with business, technology, data, and other departments to understand data requirements and deliver appropriate solutions.
• Investigate and resolve software, data-quality, integration, and performance issues.
• Contribute to technical design discussions, code reviews, testing, documentation, and production support.
• Stay current with relevant industry trends, data practices, software engineering methods, and cloud technologies.
• Support sustainable technology practices by promoting efficient data processing, appropriate resource utilization, reusable components, and responsible use of cloud infrastructure.
• Deliver maintainable solutions that meet agreed requirements, quality standards, performance expectations, and delivery timelines. 
  
   

Technical Skills (By Category)

Programming Languages

Essential

 

• Java with practical experience in object-oriented programming, collections, exception handling, concurrency, and multithreading.
• Ability to write readable, maintainable, testable, and production-ready code.
• Strong understanding of Java application performance and troubleshooting. 
  
   

Preferred

 

• Experience with scripting languages used for data processing or automation.
• Exposure to programming approaches used in distributed and data-intensive applications. 
  
   

Databases/Data Management

Essential

 

• Strong understanding of database concepts, including relational data modeling, SQL, joins, indexing, transactions, normalization, and query performance.
• Experience integrating Java applications with databases.
• Ability to analyze data quality, structure, completeness, and consistency.
• Experience developing or supporting data pipelines for reliable data movement and processing. 
  
   

Preferred

 

• Experience with large-scale or distributed data stores.
• Familiarity with data warehousing, data lakes, batch processing, and streaming data.
• Exposure to data governance, metadata management, lineage, and data-quality controls. 
  
   

Cloud Technologies

Essential

 

• Experience with cloud-based data storage solutions on AWS and Google Cloud Platform.
• Understanding of cloud-based application deployment, data access, permissions, and resource management.
• Ability to apply basic cloud security, availability, scalability, and cost-efficiency considerations. 
  
   

Preferred

 

• Experience with cloud-native data-processing services.
• Familiarity with containers, orchestration, logging, monitoring, and cloud-based application integration.
• Experience applying sustainable cloud practices, including efficient resource use and appropriate storage and processing choices. 
  
   

Frameworks and Libraries

Essential

 

• Spring Boot for developing and maintaining microservices.
• Familiarity with Spring-based application development, dependency injection, configuration, and service integration.
• Experience designing and consuming RESTful APIs.
• Experience using testing frameworks and practices appropriate for Java applications. 
  
   

Preferred

 

• Exposure to Spring Cloud or comparable tools for distributed application development.
• Familiarity with messaging, event-driven architecture, and API documentation tools.
• Experience with libraries or frameworks used for big data processing and analytics. 
  
   

Development Tools and Methodologies

Essential

 

• Experience with source control, code review, defect tracking, build processes, and automated testing.
• Understanding of software development life cycle practices, Agile delivery, and iterative development.
• Ability to create technical documentation and support knowledge sharing.
• Experience diagnosing performance, integration, and production issues. 
  
   

Preferred

 

• Experience with continuous integration and continuous delivery pipelines.
• Familiarity with containerization, infrastructure automation, and application monitoring.
• Experience working with data analysis, visualization, or operational reporting tools.
• Exposure to automated quality checks, static analysis, and performance testing. 
  
   

Security Protocols

Essential

 

• Understanding of secure coding practices for Java and microservices.
• Awareness of authentication, authorization, access controls, encryption, secure API design, and protection of sensitive data.
• Ability to follow organizational security, privacy, compliance, and data-handling standards. 
  
   

Preferred

 

• Experience implementing role-based access controls and secure service-to-service communication.
• Familiarity with security testing, vulnerability remediation, audit requirements, and cloud security controls. 
  
   

Experience Requirements

 

• 4–5 years of professional experience in data analysis, data-driven decision-making, software development, or a related role.
• Demonstrable experience developing Java applications, microservices, and Spring Boot solutions.
• Practical experience with multithreading, database concepts, data pipelines, and large-scale data processing.
• Experience analyzing datasets and converting findings into technical or business solutions.
• Experience collaborating with departments or stakeholders to understand data requirements and deliver data-driven outcomes.
• Experience in finance, healthcare, technology, or another relevant industry is preferred.
• Candidates may qualify through equivalent practical experience, relevant technical training, demonstrable project work, or a combination of education and professional experience.
• Experience should be assessed based on relevant outcomes, technical capability, and the ability to perform the responsibilities of the role. 
   
  
   

Qualifications

 

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field; equivalent relevant professional experience may also be considered.
• Recognized certification in data or analytics, such as Certified Analytics Professional, is preferred.
• A recognized cloud data-science or cloud analytics certification at an equivalent level is preferred.
• Completion of relevant training in Java, Spring Boot, microservices, databases, big data, cloud technologies, or data analytics is beneficial.
• Maintain continuous professional development by staying current with Java, data engineering, analytics, cloud platforms, security practices, and industry standards

Key Skills

Education

Any Gradute