Data Engineer

6 days ago

Lagos, Nigeria Clickatell Full time

Purpose

  • As a Data Engineer, you will be joining our cross-functional data team, and supporting the design, build and testing of high-performance, scalable and multi-event level data solutions.
  • You will work with structured, semi structured and unstructured data. You will play a critical role on the strengthen of our analytical presence in the Chat Commerce market.

We Do The Right Things

Responsibilities of the Role

  • Design and develop scalable and robust pipelines for data consumption by downstream applications in support of advanced analytics, AI/ML products, and system interoperability.
  • Identify opportunities for improvement of existing ETL processes to enhance data integrity and accuracy.
  • Work in a scrum-based team that is passionate about enabling a data culture throughout the organization.
  • Deliver a high degree of data availability, consistency, and accuracy for our current production systems.
  • Actively participate in solution design and modelling to ensure data products are developed according to best practices, standards, and architectural principles.
  • Work closely with the data architect, database administrators and BI developers, to redefine our approach to data pipelines and principles of reusability.
  • Protect Clickatell's information, intellectual property and corporate data systems in accordance with prescribed guidelines.

We Are On A Learning Journey
Requirements of the Role

  • National Diploma, B-Tech or bachelor's degree in engineering, computer science, or informatics.

Work Experience

  • 3+ years of production data engineering experience.
  • 2+ years of experience working in cloud environments.
  • A background working in a high-volume payment transaction environment, or mobile technology platforms and systems integration would be advantageous and be able to demonstrate a sustained track record of delivering high-quality outputs, on-time and to product or business specifications.
  • Exposure to Business Intelligence, data warehousing dimensional modelling will be advantageous.
  • High transactional development environments and Business intelligence experience will be advantageous.
  • Experience with data transformation tools such as Talend will be advantageous.

Knowledge and Abilities

  • Excellent hands-on experience in working with SQL and NoSQL data sets.
  • Experience with data streaming architecture.
  • Working knowledge of DevOps principles such as CI/CD.
  • Self-disciplined, eager to help, and most importantly a thirst for continual learning.
  • Build on our coaching culture, you are someone who will not only be willing, but also passionate about assisting colleagues.
  • Formal training business intelligence, data architecture or design would be advantageous.

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