Save Job Back to Search Job Description Summary Similar JobsSuperb remuneration package.Work with cutting-edge data technologies at scale.About Our ClientOur client is a leading global technology manufacturer with a strong presence in advanced engineering and innovation. The organization leverages cutting-edge technologies to drive smarter operations, digital transformation, and data-driven decision making across its global manufacturing network.Job DescriptionDesign and develop scalable data models for manufacturing and operational data.Build and maintain ETL/ELT pipelines using PySpark and SQL.Develop analytics-ready datasets and business-focused data products.Implement data quality controls and governance measures to ensure data reliability.Collaborate with engineering, manufacturing, and analytics stakeholders to gather requirements and deliver solutions.Document data architecture, transformation logic, and business rules.Optimize database and query performance across large-scale datasets.Support the implementation of modern data platform and lakehouse technologies.The Successful ApplicantBachelor's Degree in Computer Science, Data Science, or a related discipline.Minimum 2 years of experience in Data Engineering, Data Analytics, or a related field.Strong hands-on experience with SQL, Python, and PySpark.Experience working with large-scale data platforms, data warehouses, and lakehouse technologies.Solid understanding of ETL/ELT development and data pipeline best practices.Familiarity with workflow orchestration tools such as Airflow.Experience with cloud data platforms, data modeling, and performance optimization would be advantageous.Exposure to manufacturing, industrial, or semiconductor environments would be a plus.What's on OfferCompetitive monthly salary ranging from MYR 7000 to MYR 10000.RSU (Restricted Stock Units) as part of the benefits package.13 months bonus for additional financial rewards.Performance bonus based on individual and company achievements.Opportunity to work on large-scale, enterprise-level data engineering projects.Strong career development opportunities within a global technology-driven organization.If you meet the requirements and are interested in joining the industrial/manufacturing industry in Ampang, we encourage you to apply.ContactKaylee HoQuote job refJN-082026-7077741Phone number+60323024062Job summaryFunctionITSpecialisationIT Data AnalysisWhat is your area of specialisation?Industrial / ManufacturingLocationInternationalContract TypePermanentConsultant nameKaylee HoConsultant contact+60323024062Job ReferenceJN-082026-7077741