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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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Experience using one or more of AWS / Azure / GCP data and analytics services in combination with custom solutions - Spark, Azure Data Lake, Databricks, Snowflake, HDInsights, SQL DW, DocumentDB, Glue, Athena, Elastic Pool etc.
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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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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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You have a good knowledge of python, you are really interested in the command line *nix, you are familiar or have already used cloud technologies such as GCP or AWS, you have already used big data technologies like Flink, Spark, or Beam and Docker (K8S is an asset.
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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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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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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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Facilitates identification of risk in LCI Management System, ensuring monitoring and implementation of mitigation plan for data protection and security. Manages and monitors the set-up of LCI data repositories as well as updating Client’s Information Management system (i.e. 3D Model, Data & Document/Drawing’s database or handover/completion system.
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Reviews calculations, stress analysis reports and allowable nozzle loads, piping standard details and drawings, documents and data sheets prepared by engineers working on the assigned project. Reviews spring supports data sheets and details selected based on the stress analysis report.
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