Senior Data Engineer & Analytics Platform Lead

Agency for Science, Technology and Research (A*STAR); Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

A leading research institute in Singapore is seeking a Senior Assistant Director (Data Engineer) to design and maintain the enterprise data architecture. This role requires optimizing data pipelines using Azure Data Factory and Snowflake and ensuring compliance with public-sector standards. The ideal candidate will have 8-10 years of experience in data engineering, a Bachelor's degree, and proficiency in SQL and Python. Mentorship of junior engineers is also a key responsibility. This position offers a chance to drive innovation in data practices.

Qualifications

• 8 to 10 years of experience in data engineering or platform development.
• Hands-on experience with Snowflake and Azure Data Factory.
• Strong knowledge of data modeling and cloud-warehouse architecture.

Responsibilities

• Design and implement data pipelines using ADF and best practices.
• Build and optimize data marts for analytics tools like Power BI.
• Integrate metadata into Alation for enhancing data discoverability.
• Mentor junior engineers on best practices in data architecture.

Skills

Data pipeline design

Snowflake optimization

SQL proficiency

Python programming

ETL/ELT practices

Data orchestration tools

Collaboration skills

Education

Bachelor's Degree in Computer Science or related discipline

Tools

Azure Data Factory

Snowflake

Alation

Airflow

Job description

A leading research institute in Singapore is seeking a Senior Assistant Director (Data Engineer) to design and maintain the enterprise data architecture. This role requires optimizing data pipelines using Azure Data Factory and Snowflake and ensuring compliance with public-sector standards. The ideal candidate will have 8-10 years of experience in data engineering, a Bachelor's degree, and proficiency in SQL and Python. Mentorship of junior engineers is also a key responsibility. This position offers a chance to drive innovation in data practices.