• Data Engineer at ​RelianceHMO

    work ​RelianceHMO
    placeLagos
    Date Posted: 2020-06-08

    RelianceHMO - We are recruiting to fill the position of a Data Engineer in Gbagada, Lagos.

    You'll love this organisation because

    • You'll have a clear career path
    • You'll have a lot of independence in managing projects
    • We have a vibrant and active culture
    • Co-workers are a close-knit, intelligent, and motivated team

    Key Responsibilities

    • Create and maintain optimal data pipeline architecture,
    • Assemble large, complex data sets that meet functional / non-functional business requirements.
    • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
    • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS Сbig data technologies.
    • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
    • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
    • Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
    • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
    • Work with data and analytics experts to strive for greater functionality in our data systems.

    Must Haves

    • Experience building and optimizing big data data pipelines, architectures and data sets.
    • Strong analytic skills related to working with unstructured datasets.
    • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
    • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
    • A successful history of manipulating, processing and extracting value from large disconnected datasets.
    • Working knowledge of message queuing, stream processing, and highly scalable big data data stores.

    Some Perks and Benefits

    • Daily meals
    • Employee-friendly working conditions
    • Generous health insurance package; including gym passes
    • Modern, cosy and collaborative workspace.

    How to Apply
    Interested and qualified candidates should click here to apply 20th June, 2020.


    work ​RelianceHMO

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