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  • Posted: Sep 26, 2022
    Deadline: Not specified
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    uLesson is the first of its kind in Africa. An organisation that leverages best in class teachers, media, and technology solutions to create high-quality, affordable and accessible education for African students. We have built a platform that helps African students be the very best they can be - an app that allows them to maximize their academic achievement and prepare for a future in various disciplines and subjects. Our team of passionate and talented people have together built a learning experience unprecedented in richness, scope, interactivity and effectiveness.
    Read more about this company

     

    Data Engineer

    Job Description

    • We are looking for an experienced Data Engineer to join our growing team of analytics experts.
    • You will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. 
    • The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. 
    • The Data Engineer will support the data team and our software developers on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

    Roles and Responsibilities

    • Build data pipelines that clean, transform and aggregate data from different sources.
    • Create and maintain optimal data pipeline architectures.
    • Develop models to be used to make predictions and answer questions for the overall business
    • Assemble large, complex data sets that meet functional/non-functional business requirements.
    • Work with the team to build complex algorithms that provide unique insights into the Company’s data.
    • Use agile software development processes to iteratively make improvements to the Company’s end systems.
    • Model front-end and back-end data sources to develop a comprehensive picture of user flows that enables impactful data analysis.
    • Optimize existing infrastructure for extraction, transformation, and loading of data from various data sources using SQL and Google BigQuery.
    • Prepare data for prescriptive and predictive modelling.
    • Identify, design, and implement internal process improvements: automating manual processes, and optimizing data delivery for greater scalability.
    • Explore ways to enhance data quality and reliability.
    • Identify opportunities for data acquisition.
    • Develop analytical tools and programs.
    • Collaborate with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.

    Requirements

    • Degree in Computer Science, Information Technology, Engineering or other relevant fields.
    • Masters Degree in Statistics, Applied Math, or related disciplines or fields is an advantage.
    • Minimum of 3 years previous experience as a data engineer or in a similar role.
    • Technical expertise with data models, data mining, and segmentation techniques.
    • Experience with object-oriented/object function scripting languages (e.g., Java and Python).
    • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
    • Experience using Google Cloud Platform or other similar cloud services.
    • Experience working with data ETL tools and processes, DBT and Fivetran experience is a plus.
    • Communication skills, especially explaining technical concepts to non-technical stakeholders
    • Strong analytic skills related to working with unstructured datasets.
    • Comfortable working in a dynamic environment with a research-oriented team working on concurrent projects.

    Salary
    N500,000 - N650,000 / Month

    Method of Application

    Interested and qualified candidates should send their updated CV and Cover Letter to: people@ulesson.com using the Job Title as the subject of the email.

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