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Our services, including Digital Media, Digital & Interactive Creative, Big Data (Warehousing, Data Modeling & Data Application), Programmatic Media Solutions, Mobile Marketing Services, Search Engine Marketing, Content Marketing, EPR/Social, Digital film (creation/production/ distribution), Integrated Advertising Solutions, and Research & Insights, are only the tip of the iceberg in terms of the possibilities of what we believe our clients can achieve.
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The Downstream segment focuses on refining, logistics, power generation, and the marketing of crude oil, petroleum and petrochemical products, and related services to international and domestic customers.
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Well versed with the industry trends, technology, and products in the areas of data migration, and master data management. Expertise with data migration /data quality solution data catalog technology solutions, SAP BODS, IS, Informatica etc.
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Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results.
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Use your understanding of material science and electrochemical characterisation to analyse experimental data, which can be fed into the model. Ability to use MATLAB/Python for data-processing automation.
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By joining us, you will have the opportunity to not only tackle the challenges of large scale distributed system across multi regions which generates huge amount of data from billions of users, but also the unique challenges from live streaming to provide low latency and high quality videos for different types of network connectivity even when the live event can go viral anytime to generate huge amount of traffic.
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Expertise with data visualization applications such as Tableau, R Shiny, Looker. - Strong aptitudes in data manipulation to create and interpret complex SQL queries (Oracle, Redshift, Big Query, Snowflake.
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8-10 years relevant work experience in Data Centre environment or Hi-tech factory/plant (e.g. semi-conductor) managing mission critical facility, inclusive minimum of 5 years managerial experience.
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Familiarity with cluster management tools like Bright, data processing frameworks (e.g., Apache Spark, Apache Beam), machine learning frameworks (e.g., TensorFlow, PyTorch), networking for HPC applications, containerization technologies (e.g., Docker, Kubernetes) and HPC scheduling.
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Validates the specifications, data sheets, drawings and documents with Project Engineering Manager and issues these for use in engineering design, in construction or for RFQ purposes, including prior approval from Client where such approvals are mandatory.
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Artificial Intelligence and Data Science Professor/Associate Professor/Assistant Professor. Applicants must have a doctorate degree in the Artificial Intelligence or Data Science field. We seek outstanding candidates in the area of Artificial Intelligence and Data Science.
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Lead cross-functional teams (e.g. CDOO, Programmes, Marketing) to bring together disparate datasets to facilitate data science use cases. In line with the organisation’s PPH goal, the DSA department aims to advance HPB’s analytics rigour and data science applications to maximise translational value of data-driven insights.
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Perform Control system refurbishment, upgrading and/or Control expansion projects not limited to Programmable Logic Controller (PLC), Supervisory Control and Data Acquisition (SCADA), Life Safety Systems (Gas monitoring), Instrumentations, IoT / SMART projects.
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Develop and implement tailored Project Control concepts for data center construction, ensuring precise cost and document control. Minimum 10 years relevant cost control experience in data centers, hi-tech and similar large construction.
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Experience in data analytic tool such as Tableau, Power BI, Snowflake, Microsoft Azure is a plus. You will support daily wafer sort operations of sub-con test house and engineering data collection; you will also assist in data mining/analysis, characterization and failure investigation for low yielding wafers.
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