Lead Data Engineer

Roles & Responsibilities

• Take end-to-end ownership of our cloud data architecture—designing, developing, and implementing a robust data warehouse using AWS services such as S3, Glue, Redshift, Lambda, Step Functions etc.
• Lead the evolution of our data infrastructure with a long-term vision, ensuring scalability, reliability, and performance.
• Define and enforce high standards across data engineering—driving excellence in source control, automation, testing, and deployment.
• Ensure data integrity, governance, and security are embedded throughout the pipeline, delivering datasets stakeholders can depend on.
• Promote engineering best practices through clean, well-documented code, peer reviews, and strong CI / CD workflows.
• Act as a trusted technical mentor, growing the skillset of your team and raising the bar on data engineering quality.
• Design and maintain high-performance ETL / ELT pipelines to rapidly transform raw data into ready-to-use, structured datasets.
• Continuously optimize data models (e.g., star schema) for analytics and reporting, accelerating decision-making across the business.
• Embrace agility—identify inefficiencies, ship improvements quickly, and iterate with speed and precision.

Requirements :

Interested candidates please click Apply .

Please note that only shortlisted candidates will be notified. EA Registration No : R1655133 Links HR Singapore Pte Ltd | EA License No : 09C5322

Tell employers what skills you have

Mentoring

Machine Learning

Automation Testing

Scalability

Big Data

Pipelines

Data Transformation

ETL

Reliability

Data Engineering

SQL

Python

Data Architecture

S3

Data Warehousing

Databases