Junior Data Engineer
2 weeks ago
Company Description
MR D.I.Y. is a home-grown enterprise with over 1,500 stores across Malaysia and Brunei. The home improvement retailer has dedicated to make a positive difference in the lives of its valued customers by offering convenience at all its stores nationwide and online at
All MR. D.I.Y. stores are managed directly and the retailer often works in collaboration with owners of shopfront properties or owners of malls. MR. D.I.Y. stores offer a wide selection of SKUs across five major categories, namely hardware; household and furnishing; electrical; stationery and sports equipment products; and others (comprising toys, car accessories, jewellery, cosmetics, food and beverage items, as well as health and personal care).
The Company strives to put its customers first by operating an innovative business that is flexible when it comes to providing a wide variety of products, good quality and value-for-money, holding true to the Company's motto of "Always Low Prices".
About the role
We are seeking a motivated Junior Data Engineer
to join our data engineering team. This role focuses on
Google BigQuery
and related Google Cloud Platform (GCP) services. You will work closely with senior engineers to design, build, and maintain scalable data pipelines, ensure data quality, and support analytics and reporting needs. This is a great opportunity for someone early in their career to gain hands-on experience with cloud-based data engineering.
Key Responsibilities
- Assist in developing, maintaining, and optimizing data pipelines in
Google BigQuery
. - Write and tune
SQL queries
for data extraction, transformation, and loading (ETL/ELT). - Support integration of data from multiple sources into the data warehouse.
- Ensure data accuracy, consistency, and quality across pipelines.
- Support reporting and analytics teams by providing clean and well-structured datasets.
- Help monitor, troubleshoot, and optimize BigQuery jobs and data workflows.
- Document processes, queries, and workflows for internal and external use.
Qualifications
Bachelor's degree in Computer Science/ Data Analytics/ Engineering or related field
Proficient in Python, Pandas, SQL, Microsoft Excel, Google Big Query
Basic knowledge of data modeling concepts
Willingness to learn and adapt in a fast-paced environment
Fresh graduates are welcome; 1–2 years of relevant experience is a plus.
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