Data Engineers

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    Company NameTezza Business Solutions Ltd
    Company TypePrivate
    Job TypeFull-Time
    Salary RangeMarket Competitive
    LocationNairobi County, Kenya
    QualificationsNone / No Formal Education
    ExperienceNo Experience / Fresh

    Job Overview

    Data Engineers at Tezza Business Solutions Ltd, will be responsible for designing, developing, and maintaining data infrastructure. This role involves building and optimizing data pipelines, ensuring data quality, and collaborating with cross-functional teams to deliver data-driven solutions.

    Company Overview

    Tezza Business Solutions Ltd provides comprehensive IT and Business Solutions. Their solutions improve quality, drive customer engagement, increase operational efficiencies, remediate risk, and enhance opportunities to increase revenue. Services include Strategy & Consulting, Digital Marketing, and Technology & Engineering.

    Quick Details

    • Salary Range: Market Competitive
    • Job Type: Full-time
    • Qualifications: None / Open to all applicants
    • Experience: Entry level / No experience required

    Key Responsibilities

    • Design, build, and maintain data pipelines and infrastructure.
    • Ensure data quality and integrity across all data systems.
    • Collaborate with data scientists and analysts to understand requirements.
    • Optimize data processing for performance and scalability.
    • Develop and implement data governance and security measures.

    Requirements

    • Strong understanding of data warehousing concepts.
    • Experience with data modeling and database design.
    • Proficiency in SQL and scripting languages (e.g., Python, Scala).
    • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud).
    • Excellent problem-solving and communication skills.

    Benefits

    • Opportunities for professional development and training.
    • Collaborative and innovative work environment.
    • Competitive salary and benefits package.
    • Exposure to diverse projects and technologies.
    • Opportunity to contribute to data-driven solutions.

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