Snr Principal Data Engineer

ST ENGINEERING IHQ PTE. LTD.; Singapore; On-site; SGD 100,000 - 125,000; Full time

Job summary

A leading technology services firm in Singapore is seeking a candidate for a role in the Data Analytics team focused on designing and maintaining critical data pipelines. This position involves project management leadership for AI/ML solutions and requires collaboration with a multi-disciplinary team. Candidates should have experience in technical project management, data architecture design, Python scripting, and familiarity with data visualization tools. The ability to work in cloud environments such as AWS or Azure is an advantage.

Qualifications

• Experience with technical project management and a customer-centric solutioning approach.
• Experience designing data platform architecture and deploying end-to-end AI solutions.
• Flexibility to learn new tools to solve problems.

Responsibilities

• Design, execute, and maintain data pipelines for diverse use cases.
• Lead project management for AI/ML solution delivery.
• Collaborate with multi-disciplinary teams including data scientists and engineers.

Skills

Technical project management

Python scripting for ETL

Data modeling

Data visualization

System administration (RDBMS)

Data pipeline orchestration

Cloud deployment (AWS/Azure)

Cloud deployment (AWS/Azure)

Tools

Airflow

Tableau

Power BI

Matplotlib

Seaborn

Microsoft SQL Server

MySQL

Postgres

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