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Data Engineer

We are looking for Data Engineers to help us leverage our data so that it can be used to benefit SMEs, especially traditional market merchants.


  • Build, deploy and manage cloud based big data solutions that can adequately support the analytics and data science needs.
  • Build out scalable and reliable ETL pipelines and processes to ingest data from a large number and variety of data sources.
  • Spearhead the development of systems, architectures, and platforms that can scale to the 3 Vs of Big data (Volume, Velocity, Variety).
  • Maintain and optimize the performance of all the data pipelines and ETL processes to ensure accurate, reliable and timely delivery of key insights for decision making.
  • Work with the data scientists to improve the quality of data by cleaning and preparing subsets of data as preparatory step before deeper analysis.


  • Minimal 3 years of experience
  • Bachelors or Masters degree in Computer Science, Software Engineering, Information Technology or other related technical disciplines.
  • Experience working with Stream data processing involving technologies such as PubSub, Spark, Flink or other equivalent technologies, and data visualisation technologies such as Google Data Studio or Tableau.
  • Proficient in one of the programming languages - Scala, Python or Java Experience in handling large data sets (multiple TBs) and working with structured and unstructured datasets.
  • An insatiable passion for working with data, learning new technologies in the Big data landscape.
  • Excellent communication skills to interact with the Business team to understand the requirements and to solve data related challenges.