job description
Join Aeon Credit Service, a leading financial services provider, as an Assistant Manager - Data Engineer (Credit Risk Analytics) in the vibrant and dynamic setting of Bali, Indonesia. In this pivotal role, you will design and implement scalable data solutions that drive strategic credit risk decisions, optimize data workflows, and enhance our analytical capabilities in a fast-paced environment.
As a key member of our Credit Risk Analytics team, you will collaborate with cross-functional teams to develop robust data pipelines, ensure data integrity, and provide actionable insights that support business growth and risk management. This is an exceptional opportunity to leverage your technical expertise in data engineering while contributing to impactful financial solutions in one of Southeast Asia’s most exciting markets.
Bali offers a unique blend of professional opportunities and a high quality of life, making it an ideal location for tech professionals seeking career growth in a tropical paradise. If you are passionate about data-driven decision-making and thrive in a collaborative, innovative environment, we invite you to be part of our mission to redefine credit risk analytics.
Why Join Us?
- Work with cutting-edge data technologies in a forward-thinking financial services company.
- Opportunity to shape credit risk strategies and drive business impact.
- Professional development and career advancement in a growing industry.
- Enjoy the work-life balance and cultural richness of Bali.
Responsibility
- Design, develop, and maintain scalable data pipelines to support credit risk analytics and reporting.
- Optimize data workflows to ensure efficiency, reliability, and performance in data processing.
- Collaborate with data scientists and analysts to translate business requirements into technical solutions.
- Implement data governance practices to ensure data quality, integrity, and security.
- Monitor and troubleshoot data infrastructure to minimize downtime and ensure seamless operations.
- Develop and maintain ETL processes to extract, transform, and load data from multiple sources.
- Support strategic credit risk decisions by providing accurate and timely data insights.
- Stay updated with emerging data engineering trends and technologies to drive innovation.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field.
- Minimum of 3-5 years of experience in data engineering, with a focus on credit risk or financial analytics.
- Proficiency in SQL, Python, or Scala for data processing and automation.
- Experience with big data technologies such as Hadoop, Spark, or Kafka.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and data warehousing solutions.
- Strong problem-solving skills and ability to work in a collaborative team environment.
- Excellent communication skills to bridge the gap between technical and non-technical stakeholders.
- Prior experience in the financial services industry is a plus.