Develop and optimize complex ETL processes and manage large datasets to support business analytics.
Ensure high data quality through systematic validation, cleansing, and rigorous testing practices.
Enhance the scalability, performance, and reliability of reporting pipelines and enterprise data warehouse architecture.
Collaborate closely with business stakeholders to gather data requirements and deliver impactful reporting, dashboarding, and analytics solutions.
Support ad hoc data requests and exploratory analysis to enable data-driven decision-making across teams.
Requirements
Bachelor’s Degree in Data Science, Computer Science, Information Technology or equivalent.
Minimum of 2 years of hands-on experience in data engineering, reporting, or analytics, including experience with ETL, and data warehousing.
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Data Engineer • MY
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