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Strong aptitudes in data manipulation to create and interpret complex SQL queries (Oracle, Redshift, Big Query, Snowflake) - Expertise with data visualization applications such as Tableau, R Shiny, Looker.
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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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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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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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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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As such, you will get the opportunity to work with big data from diverse data sources (e.g. intra-minute heart rate data from wearable sensors, meal logging and sports participation data from digital apps) to facilitate data feature engineering and AI use cases.
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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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Experience in using data analytical and visualization tools such as Qlik Sense, Power BI, and Python. Experience in data Extraction / Transformation / Load using SQL, Excel or any other applications.
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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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Hands on experience in data engineering, working with big data framework like Spark/Hadoop. Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
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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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