Principal Data Engineer

ST ENGINEERING IHQ PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading technology firm in Singapore is seeking an experienced data engineer to design, execute, and maintain critical data pipelines. The role requires project management leadership in delivering AI/ML solutions while collaborating with a multidisciplinary team of data scientists and engineers. Ideal candidates will have extensive experience in technical project management, data platform architecture, and proficiency in Python and data orchestration tools. This is an excellent opportunity to work in a dynamic environment focused on innovative data solutions.

Qualifications

• Experience with technical project management for customer-centric solutions.
• Proficient in Python for ETL and data engineering tasks.
• Experience with data pipeline orchestration and data visualization tools.

Responsibilities

• Design and maintain critical data pipelines for various data use cases.
• Provide project management leadership for AI/ML solutions.
• Collaborate with a multidisciplinary team of data specialists.

Skills

Technical project management

Data platform architecture design

Python scripting

Data pipeline orchestration tools

Data analysis and visualization

RDBMS system administration

Windows and Linux system administration

AWS/Azure cloud deployment

Tools

Airflow

Tableau

Power BI

Job description

The key responsibilities include the design, execution and maintenance of critical data pipelines supporting a myriad of data-related use cases, as well as project management leadership to deliver AI/ML solutions. This position is with the Data Analytics (MRO) team under the Group Engineering Centre (GEC). The candidate is expected to collaborate closely with other team members within DA(MRO), which is a multi-disciplinary team consisting of data scientists, dataengineers and software engineers.

Requirements

• Experience with technical project management, adopting a customer-centric solutioning approach to understand customer pain points and identify key problems to be solved
• Experience with data platform architecture design, data modelling and deploying end-to-end data/AI solutions
• Proficient in Python scripting for ETL and data engineering
• Flexibility and adaptability to employ appropriate tools to solve the problem at hand, including learning new tools
• Proficient in any data pipeline orchestration tools (e.g. Airflow, Prefect)
• Proficient in analysing and visualizing data using a combination of commercial BI tools (e.g. Tableau, Power BI) and open-source libraries (e.g. Matplotlib, Seaborn)
• Proficient in system administration of any RDBMS solutions (e.g. Microsoft SQL Server, MySQL, Postgres)
• Experience with system administration of Windows and Linux systems (baremetal & VM)
• Experience with deploying solutions on AWS/Azure cloud will be advantageous