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  • Posted: Jul 4, 2023
    Deadline: Not specified
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    Mwanga is a tech-driven business process outsourcing services company. We have a highly skilled and agile team that effectively fits into your teams and carries out a major process to result in an upward scale in your profitability.
    Read more about this company

     

    Junior Data Engineer

    Job Description:

    • Collect, clean, transform, and load data into a variety of systems
    • Develop and maintain data quality checks and monitoring systems
    • Work with a team of data engineers and scientist to design and implement data pipelines
    • Support the development and maintenance of data warehouses
    • Work with stakeholders to understand data needs and requirements
    • Document data flows and processes
    • Stay up-to-date on new data engineering technologies and best practices
    • Create dashboards by pulling data from different data sources and Implement the overall analytics and business intelligence strategy for the Business
    • Interpret data, analyze results using statistical techniques and provide ongoing reports
    • Conduct thorough data analysis, help design and implement analytics programs, generate reports, and collaborate with various teams to ensure the company is optimizing its resources and maximizing its market share.
    • Collaborate regularly with I.T departments and other teams to design and develop analytical projects designed to understand key business behaviors that drive customer acquisition, retention, and engagement.
    • Identify business problems and customer pain points, formulate hypotheses, develop analytic plans, conduct the analysis, synthesize conclusions into actionable solutions, and help implement recommendations for customer experience programs.

    Job Requirement:

    • Bachelor's degree in a quantitative field, such as computer science, statistics, or mathematics
    • Previous experience in data engineering
    • Strong programming skills in Python, R, or Scala
    • Experience with SQL
    • Experience with data warehousing and data lakes
    • Experience with cloud computing platforms, such as AWS and Azure
    • Strong analytical and problem-solving skills
    • Excellent communication and documentation skill
    • Experience with big data technologies
    • Experience with machine learning and statistical analysis
    • Experience with data visualization tools
    • Certified SQL, Power BI and Advanced excel user.

    Method of Application

    Interested and qualified candidates should forward their CV to: careers@mwanga.ng using the position as subject of email.

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