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.
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