Data Engineering Lead – prunedge

  • Science, Technology, Engineering and Mathematics
  • Full time
  • 1 month ago
  • Lagos
  • Minimum Qualification BSC/HND

Job Description

  • Minimum of 3 years professional experience in Data Engineering
  • Experience in developing machine learning models and applying advanced analytics solutions to solve complex business problems
  • Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas
  • Experience with modern deep learning frameworks: RLlib, PyTorch, TensorFlow, etc.
  • Experience using statistical computer languages (R, Python, SLQ, Julia, MatLab etc.) to manipulate data and draw insights from large data sets.
  • Experience with distributed data/computing tools: Ray, Map/Reduce, Spark, etc.
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
  • Experience with unsupervised and supervised machine learning techniques and methods
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
  • Experience working with and visualizing large-scale (e.g., terabyte and petabyte) unstructured and structured data sets and databases
  • University degree (or equivalent) in quantitative field: Statistics, Mathematics, Computer Science, Electrical Engineering, Engineering Statistics, Systems Engineering, or relevant fields
  • Experience with the design or use of production pipelines for online learning and reinforcement learning
  • Experience working with and creating data architectures
  • Proven DevOps CI/CD, QA Automation experience
  • Experience performing good unit testing and peer reviews before delivering code to QA
  • Proficiency with SQL programming
  • Experience working with statistical software packages including: SAS, SPSS Modeler, R, WEKA, or equivalent
  • Excellent analytical and multitasking skills
  • Self-motivated and creative problem-solvers who love to challenge themselves
  • An ability to perform well in a fast-paced environment
  • Ability to select hardware to run an ML model with the required latency
  • Proficient understanding of code versioning tools, such as Bitbucket, Git, Mercurial, SVN etc.
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