Data Engineer - Manufacturing Execution System , Chemicals Business

Responsibilities:

• Design, develop and optimize data model, ETL and ELT processes
• Collaborating with users to analyze working processes and requirements to design and develop data model/reports/dashboards 
• Oversee data-related functions, such as data governance, data engineering, data science and data intelligence, as well as enhancement of data analytics capabilities across the business
• Provide expertise and consultation on leveraging data assets, industry-leading trends and modern data technologies

Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Technology  or related fields.
• Achieved a minimum GPA of 2.70 for undergraduate and 3.30 for post-graduate study
• Good communication in both spoken and written in English (required TOEIC at least 550)
• Having 0-3 years’ experience in Data Engineer / Data Analyst / Data Intelligence
• Knowledge in using database eg. MSSQL, Oracle, MySQL, PostgreSQL, MongoDB
• Knowledge of programming languages such as SQL, Python, Java
• Experience in building data pipeline or ETL tools eg. MS SSIS, Azure Data Factory, Apache Airflow 
• Experience in handling reporting packages like Business Objects, programming (Javascript, XML)
• Experience with business intelligence and data visualization tools like MS PowerBI, Tableau, PI Vision
• Extensive knowledge of data governance, data engineering, data science and business intelligence concepts and data privacy laws
• Knowledge of Big Data Platform is preferred.
• Background in petrochemicals industry is a plus
• Excellence communication skill and coordinating skills
• Good analytical and problem-solving skills.