Job purpose:

Responsible for designing, implementing and governing the big data architecture & strategies that meet business requirements. Collaborate with business stakeholders to collect, ingest, transform, and analyze data to uncover insights for business decision making.

Main/Principal Missions:

  • Designing and implementing Big Data solutions.
  • Designing and implementing data pipeline orchestration.
  • Designing, implementation, and managing databases to ensure high availability and
  • data integrity.
  • Lead & coordinate all business intelligence related projects and ensure compliance to
  • data integrity standards.
  • Evaluate the effectiveness of the current BI strategies & provide insightful
  • recommendations.
  • Work closely with internal business and technical stakeholders to understand requirements and ensure objectives, priorities and key requirements are understood and agreed upon.
  • Implementing BI data securities and ensure compliance with the data protection act and regulatory requirements.
  • Effectively communicate data trends, inconsistencies, unavailability to executive
  • Internal Digitization (Data Analytics)
  • Ensure timely delivery of business reports and data accuracy

Qualification & Experience:

  • Bachelors Degree in Computer Engineering / Computer Science / Information Systems / Statistics
  • Five (5) years experience in a data analytics environment with emphasis in Business Intelligence / Data Analytics / Big Data

Skills & Competencies:

  • Excellent problem-solving and analytical skills
  • Innovative, proactive, organized, and collaborative mindset
  • Ability to work in a fast-paced, deadline-driven environment
  • Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala
  • Project Management skills
  • Strong communication skills
  • Excellent knowledge of data management technologies and scripting languages (SQL, MySQL, MongoDB, Oracle)
  • Data modelling & Pipelines automation
  • Data analysis & Visualization
  • Working experience with Programming languages (Python, Java, Scala)

Closing Date: 25 December 2023

 

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