What You'll Do :
Data Engineering : Design, build, and optimize scalable ETL / ELT Processes to ensure high-quality, accessible data.
Machine Learning : Research, develop, deploy, and optimize Machine Learning (ML) and Deep Learning (DL) solutions as services or products for clients.
Infrastructure Design : Provide subject matter expertise in architecture design, selecting the right tools and technologies for our big data applications.
Data-Driven Solutions : Design, develop, test, and deploy end-to-end data-driven applications.
Practice Improvement : Drive continuous improvements in our data practices across pipelines, BI, and analytical solutions.
Stakeholder Engagement : Collaborate with stakeholders to understand their needs and develop high-quality, data-driven solutions that ensure buy-in.
BI Development : Develop and enhance Business Intelligence (BI) applications to deliver clear insights.
What We're Looking For :
Experience : At least 2+ years of hands-on experience in data engineering or a related field.
Core Skills (Must-Have) :
○ Strong proficiency in Python for data engineering and manipulation.
○ Expertise in SQL, relational databases, data warehousing, and dimensional modeling.
○ Experience in statistical modeling, machine learning, or data mining.
○ Experience with parallel computing frameworks / tools like Spark or Databricks.
○ Proven experience with cloud platforms like Azure (most preferable), AWS, or GCP.
○ Hands-on experience with BI tools such as Power BI (most relevant), Tableau, or Data Studio.
○ Strong background in statistical analysis and business analytics, with the ability to identify trends, patterns, and correlations to solve complex business problems.
Mindset : A strong passion for interrogating data and a high standard for data quality. You must be a team player who can work independently and has a positive, proactive attitude.
Communication : Good written and verbal communication skills in English. Mandarin proficiency is an added advantage.
Domain Knowledge : Knowledge of BI / Data Warehousing in the Retail / F&B industry is a plus.
Job Type : Full-time
Pay : RM6, RM8,000.00 per month
Benefits :
Ability to commute / relocate :
Application Question(s) :
Education :
Experience :
Language :
Work Location : In person
Senior Data Engineer • Subang Jaya, Kuala Lumpur, Malaysia