- 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 :
- Minimum 7 years of experience in data engineering, with at least 3 years working in cloud-based environments (preferably AWS).
- Strong hands-on experience with AWS S3, Glue, Redshift, Lambda, Step Functions, and other core AWS services.
- Proficient in SQL and Python for data transformation and automation.
- Strong communication and collaboration skills to work with cross-functional teams.
- Experience in building and managing data models and data pipelines for large-scale data environments.
- Solid understanding of data warehousing principles, data lakes, and modern data architecture.
- Experience leading and mentoring data engineering teams.
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
