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Junior Data EngineerMwanga

LagosNigeria
10 months0 Applicants
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Salary:250,000.00 (monthly)

job description - Junior Data Engineer

  • 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 Requirements

  • Bachelor's Degree in a quantitative field, such as Computer Science, Statistics, or Mathematics
  • 2 - 3 years work experience.
  • 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.
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