Deskripsi Pekerjaan
Are you a passionate Data Engineer looking to shape the future of banking technology? CIMB Group is seeking a highly skilled Executive Officer for our GT-Data & Payments Platform. In this critical role, you will be at the heart of our digital transformation, architecting robust data pipelines and enhancing payment platform capabilities to drive seamless financial services across the region.
You will collaborate with cross-functional engineering teams to develop scalable, secure, and high-performance data solutions. If you thrive in a fast-paced environment and are committed to engineering excellence, we invite you to join a team that values innovation, data-driven decision-making, and professional growth. This is a unique opportunity to leverage cutting-edge technologies to influence the financial landscape in Southeast Asia.
Tanggung Jawab
- Design, build, and maintain scalable data pipelines to support real-time payment processing and analytical reporting.
- Collaborate with platform engineers to optimize data infrastructure for high-throughput transactional workloads.
- Implement rigorous data quality and security standards in alignment with banking compliance regulations.
- Drive the development of API integrations between core payment platforms and data lakes.
- Monitor system performance, perform troubleshooting, and conduct proactive maintenance of data services.
- Contribute to the automation of CI/CD pipelines to improve deployment efficiency across the data ecosystem.
- Provide technical mentorship and support to junior team members, fostering a culture of technical excellence.
Kualifikasi
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
- Minimum 3-5 years of professional experience in Data Engineering or backend software development.
- Proficiency in programming languages such as Python, Java, or Scala.
- Strong expertise in SQL and NoSQL database technologies (e.g., PostgreSQL, MongoDB, Cassandra).
- Hands-on experience with Big Data frameworks such as Apache Spark, Kafka, or Hadoop.
- Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization tools like Docker and Kubernetes.
- Strong understanding of ETL/ELT processes and data warehousing concepts.
- Excellent analytical, problem-solving, and communication skills in a professional corporate environment.