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Lead Insider Threat Data Analyst
  • Python
  • Spark
  • SQL
  • Machine Learning
  • Excel
  • Database
  • Data Mining
  • Scala
Grab Taxi
Singapore
129 days ago

Day to Day Activity

  • Managing master data, including creation, updates, and deletion.

  • Managing users and user roles.

  • Investigating the use of system APIs and writing code to pull relevant data.

  • Building scalable and efficient tools to process large volumes of data to identify user behaviour that may be detrimental to Grab’s business.

  • Provide quality assurance of imported data, working with quality assurance analysts if necessary.

  • Commissioning and decommissioning of data sets.

  • Helping develop reports and carry out analysis.

  • Managing and designing the reporting environment, including data sources, security, and metadata.

  • Supporting the data warehouse in identifying and revising reporting requirements.

  • Supporting initiatives for data integrity and normalisation.

  • Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.

  • Troubleshooting the reporting database environment and reports.

  • Evaluating changes and updates to source production systems.

  • Training end-users on new reports and dashboards.

  • Providing technical expertise on data storage structures, data mining, and data cleansing.

Data Engineer Requirements:

  • Bachelor’s degree from an accredited university.

  • Work experience as a data analyst or in a related field.

  • Ability to analyse existing tools and databases and provide software solution recommendations.

  • Ability to translate technical ideas and solutions so they can be easily understood by a non-technical audience.

  • High-level experience in methodologies and processes for managing large scale databases.

  • Demonstrated experience in handling large data sets and relational databases.

  • Understanding of addressing metadata standards.

  • High-level written and verbal communication skills.

  • Structured Query Language (SQL).

  • Ability to code in Python.

  • Microsoft Excel.

  • Data Visualisation skills.

  • Presentation Skills.

  • A good understanding of Machine Learning.

Nice to Have:

  • Hands-on experience with the ELK Stack.

  • Experience with Spark.

  • A good understanding of Cloud technologies.

  • AWS DevSecOps experience.

  • Experience with Insider Threat risk management.

SPARK = unified data analytics engine for large scale data processing.

ELK Stack = Elasticsearch, Logstash and Kibana.

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