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Data Architect

Location: United Arab Emirates
Date Posted: March 23, 2021
Job ID: 4915
Employment Type: Permanent
Our client, an international tech consultancy, are looking for a Data Architect to join their established team in Saudi Arabia. If you fit the below and are ready for the next step in your career, please send us your CV

Responsibilities:

  • Lead the development and design of big data and data warehousing solutions.
  • Liaise with stakeholders and provide expert knowledge on various technologies & platforms
  • Identify areas of internal processes (e.g automating manual processes, optimizing data delivery) to improve before designing and implementing them
  • Create infrastructure to ensure optimal extraction/transformation of data from different data sources
  • Document use cases, solutions and recommendations
  • Work with various teams across the design, planning and governance of data projects
  • Create and implement a roadmap to keep data separated and secure across national boundaries using multiple data centres and regions.
  • Identify ways to improve data reliability, efficiency and quality
  • Design a strategy to insure data availability, accessibility, scalability, and maintainability
  • Perform detailed analysis across the business and technical teams and create reports to use in designing solutions
  • Stay up to date with new technologies and initiatives to use to further improve processes
  • Use best practise to keep solution at the highest standard in comparison to competitors and external providers
  • Guide and mentor technical team to build a high quality team

Qualifications

  • 9+ year’s experience in data warehousing and big data projects.
  • Working experience with Hadoop ecosystem, including HDFS, MapReduce, Hive, HBase, Impala, Kudu, Solr, etc..
  • Hands-on experience in NoSQL databases like (Cassandra, MongoDB, ELK Stack)
  • Experience with stream-processing systems (Storm, Spark-Streaming, Flink)
  • Experience with real-time messaging platforms (KAFKA, Kinesis)
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • Experience with Linux shell scripting
  • Knowledge of numerous programming languages (Python, Java, Scala)
  • Fluent in English & Arabic

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