School of Engineering - Deputy Manager/ Manager (Data Engineer)
Republic Polytechnic, Singapore
The Singapore Public Service
School of Engineering - Deputy Manager/ Manager (Data Engineer)
[What you will be working on]
Design and develop data models, ETL (end-to-end) pipelines, and data integration processes while ensuring data accuracy and quality.
Analyse ETL requirements from users and provide solutions accordingly.
Responsible for planning and executing data profiling and data quality analysis.
Monitor data pipelines, databases and analytical processes to ensure smooth operations.
Involve in a full cycle of project implementation, from gathering requirements with stakeholders, data design and modelling, development, testing, training and documentation.
Identify and resolve data-related issues, performance bottlenecks and data quality problems.
Design and document data catalogues and data architectures.
Collaborate with data scientists to deploy, monitor, and maintain ML/AI projects in production systems.
[What we are looking for]
A qualification in Computer Science or related discipline.
Preferably with at least 3 years of experience in data engineering, ETL development, and database management.
Technical experience in Databricks, Azure Synapse, Azure Machine Learning, Cloud services (e.g. AWS, Azure), or SQL Server Integration Services would be an advantage.
Proficiency in PL/SQL and Python, including performance tuning and troubleshooting
Ability to work in a collaborative and fast-paced environment with a growth mindset.
Strong oral and written communication skills in English.
Ability to deliver tasks on time with high-quality outcomes.
Highly motivated, and able to work independently and in a team.
Candidates with extensive experience in data engineering, ETL development, database management, along with strong technical skills in relevant cloud and database technologies, as well as a proven track record in end-to-end project implementation and stakeholder engagement, may be considered for more senior positions.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Computer Science Databricks Data pipelines Data quality Engineering ETL Machine Learning Pipelines Python SQL Testing
Perks/benefits: Career development
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