Position Summary
We are seeking a proactive and skilled Application Support Analyst to oversee the maintenance and operation of Master Data Management (MDM) systems, ETL processes, and real-time data pipelines. The ideal candidate will ensure seamless data integration, accuracy, and timely delivery to downstream systems while collaborating with cross-functional teams to optimize processes and resolve technical issues.
Key Responsibilities
- Maintain and manage the MDM system to ensure data integrity and accuracy.
- Monitor, troubleshoot, and enhance ETL processes and data pipelines to support real-time data publication.
- Collaborate with development teams to implement data-related projects using Java (Spring, Maven) and SQL.
- Perform unit testing and regression testing to ensure system reliability and accuracy.
- Work closely with stakeholders to identify and resolve technical challenges while providing consistent support.
- Document processes, workflows, and technical solutions for reference and knowledge sharing.
Required Skills and Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- 4 - 15 years of relavant experience, focusing on Java applications.
- Proficiency in SQL, with hands-on experience in Postgres and/or Oracle RDBMS.
- Strong programming skills with practical experience in Java, particularly with Spring and Maven frameworks.
- Experience in handling data-intensive projects and working with ETL tools and processes.
- Knowledge of testing methodologies, including unit testing and regression testing.
- Demonstrated ability to think analytically, solve complex problems, and learn new tools and technologies.
- Positive mindset with excellent collaboration and communication skills.
Preferred/Advantageous Skills
- Familiarity with DevOps tools, CI/CD pipelines, and version control systems like GitHub.
- Experience working in a Linux environment for application deployment and management.
- Knowledge or experience with AWS technologies, including cloud-based data solutions.
- Background in the financial or investment industry will be considered a significant advantage.
