Responsibilities
- 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.Strong proficiency in Python for data engineering and manipulation.Expertise in SQL , relational databases, data warehousing, and dimensional modeling.Broad Skills (Highly Desirable) :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.Be careful - Don’t provide your bank or credit card details when applying for jobs. Don't transfer any money or complete suspicious online surveys. If you see something suspicious, report this job ad.
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