Assistant Manager - Data Engineer (Credit Risk Analytics)

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 to support credit risk analytics. As part of our data engineering team, you'll work closely with data scientists and analysts to transform raw data into actionable insights, helping us make informed decisions and drive business growth.

At Aeon Credit Service, we are committed to innovation and excellence. With a strong focus on technology and data-driven decision making, we offer a unique opportunity to grow and develop your skills in a supportive and collaborative environment. Bali's beautiful landscapes and rich culture provide the perfect backdrop for a fulfilling career in finance.

📋 Tanggung Jawab Pekerjaan

• Design, develop, and maintain scalable data pipelines and ETL processes using tools like Apache Airflow, Python, and SQL.
• Collaborate with data scientists and analysts to translate business requirements into technical data solutions.
• Ensure data quality and integrity by implementing robust data validation and monitoring processes.
• Optimize data storage and processing to enhance performance and reduce costs.
• Develop and maintain documentation for data processes, ensuring clarity and consistency.
• Participate in code reviews and provide constructive feedback to team members.
• Stay up-to-date with emerging technologies and industry trends to drive continuous improvement.
• Support the team in achieving project milestones and delivering high-quality results.

🎓 Kualifikasi & Syarat

• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• 3-5 years of experience in data engineering, with a strong background in ETL processes and data pipelines.
• Proficiency in Python, SQL, and at least one big data technology (e.g., Apache Spark, Hadoop).
• Experience with cloud platforms such as AWS or Google Cloud.
• Knowledge of data modeling and database design principles.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
• Familiarity with credit risk analytics and financial services industry would be a plus.

🛠️ Keahlian

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