Data Engineer; Java, AWS, PostgreSQL

We are seeking a skilled Data Engineer to support and enhance enterprise data platforms, with a strong focus on master data management (MDM), ETL processes, and real-time data pipelines.

The role involves hands‑on development, system support, and close collaboration with cross‑functional teams to ensure high‑quality, reliable data delivery to downstream systems.

• Maintain and support Master Data Management (MDM) systems, ETL workflows, and real‑time data pipelines.
• Develop, enhance, and troubleshoot data‑related applications using Java (Spring, Maven).
• Design, optimize, and manage SQL queries and database objects in Postgres and/or Oracle RDBMS.
• Ensure data accuracy, consistency, and timely publication to downstream consumers.
• Perform root cause analysis and resolve data, application, and pipeline issues.
• Support Dev Ops practices, including CI/CD pipelines, version control, and deployment using Git Hub and related tools.
• Work in a Linux environment and support job scheduling and monitoring using BMC Control‑M.
• Participate in 24×7 on‑call support and perform planned activities during weekends or public holidays when required.
• Collaborate effectively with internal teams, demonstrating a proactive learning and problem‑solving mindset.

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Strong SQL skills with hands‑on experience in Postgres and/or Oracle RDBMS.
• Solid software development experience in Java, preferably with Spring and Maven, across multiple data‑related projects.
• Good analytical, problem‑solving, and troubleshooting abilities.
• Familiarity with Dev Ops tools, CI/CD lifecycle, and Git‑based version control.
• Experience working in Linux environments.
• Positive, collaborative attitude with a willingness to learn and adapt.

• Experience with BMC Control‑M job scheduling.
• Exposure to AWS technologies.
• Prior experience in the financial services or investment industry.