Job Description

Role Title: Senior Data Engineer

Job Type: Yearly extendable contract

(Key Duties & Responsibilities)

1. Own It

Design and implement scalable data architecture using AWS services such as S3, Glue, Redshift, Lambda, and Step Functions. Build and maintain robust ETL/ELT pipelines to transform raw data into clean, structured datasets. Ensure data solutions are reliable, high-performing, and production-ready.

2. Build Trust

Ensure strong data governance, security, and quality control across all pipelines and datasets. Write clean, well-documented code and support testing, automation, and version control practices.

3. One Team

Collaborate closely with analysts, business stakeholders, and IT teams to understand data needs and deliver user-friendly data solutions. Contribute to a knowledge-sharing culture and help uplift the technical standard of the team.

4. Move Fast

Continuously refine and optimize data models (e.g., star schema) to improve reporting efficiency. Proactively identify and address performance bottlenecks and inefficiencies in data workflows.

5. Drive Innovation

Recommend and experiment with new tools or AWS services that improve engineering efficiency and data capabilities. Automate manual processes and drive continuous improvement in data engineering practices.

6. Delight the Customers

Build reliable datasets and pipelines that enable stakeholders to self-serve insights. Translate business questions into data solutions that support better decision-making and improved customer outcomes.

Job Requirements:

Minimum 4-5 years of experience in data engineering, with at least 2 years in cloud-based environments (preferably AWS). Experience in building and managing data models and data pipelines for large-scale data environments. Proficiency in AWS tools: S3, Glue, Redshift, Lambda, Step Functions. Strong SQL and Python skills for data transformation and automation. Hands-on experience working with various data sources, including structured and unstructured data. Solid grasp of data warehousing concepts, data modeling, and modern ELT/ETL practices. Strong problem-solving skills and ability to work independently within a cross-functional team.
Job Types: Full-time, Permanent

Pay: RM5,000.00 - RM9,000.00 per month

Benefits:

* Health insurance