The posting
Job Description • Design and implement advanced data science solutions across banking domains, with a focus on automation and integration with enterprise database platforms.
• Lead the automation of end-to-end data science workflows, including data extraction, transformation, modelling, and deployment.
• Work closely with database engineering teams to ensure seamless integration between models and large-scale relational and non-relational databases.
• Champion the development of reusable, scalable ML pipelines for model training, evaluation, monitoring, and retraining.
• Contribute to data governance and model risk management processes in line with regulatory standards.
• Develop and optimize data models, data warehousing solutions, and database structures.
• Ensure data quality, consistency, and reliability across all platforms.
• Implement data governance, security, and compliance best practices.
• Monitor and improve pipeline performance, troubleshoot issues, and ensure high availability.
• Automate recurring tasks and improve overall data engineering processes.
• Document data flows, system designs, and technical processes.
Job Requirements
• 10+ years of experience in database, data engineering or relevant technical roles.
• Strong proficiency in SQL and experience with relational databases (e.g., MySQL, Oracle).
• Hands-on experience with ETL tools or frameworks (e.g., Airflow, Informatica, AWS Glue).
• Proficiency in programming languages such as Python and Unix shell scripting.
• Experience with big data technologies (Hadoop, Spark, Kafka) is an advantage.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Strong understanding of data modelling, warehousing concepts, and distributed systems.
• Knowledge of data security, governance, and compliance practices.
• Good communication skills and ability to work with cross-functional teams.
• Strong analytical and problem-solving skills.
We regret that only shortlisted candidates will be notified. Interested candidates may apply through the application system. We regret to inform only Shortlisted candidates will be notified.
EA License No. 01C4394 • RCB No. 200007268E •EA Registration • Lim Jia Jie EA Registration No. R22108969
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