Lead Data Engineer - Centurion - Tracker South Africa

    Tracker South Africa
    Tracker South Africa Centurion

    1 day ago

    Default job background
    Retail
    Description

    Job Category: Hardware Design and Engineering

    Location: Centurion

    Contract Type: Permanent

    Remuneration: Market Related

    EE Position: Yes

    Introduction

    Tracker seeks an experienced Lead Data Engineer to provide technical leadership in the delivery of data engineering products and solutions, as well as effective technical management and guidance of staff in data engineering teams.

    Key Duties and Responsibilities:

    • Provide technical leadership in delivery of data engineering products and solutions, within team and across teams.
    • Deliver data engineering & related projects on time, in budget, with the desired functionality, at the defined quality level in a sustainable way.
    • Meet best practice criteria in the evaluation and testing of all data code, e.g., SQL, reporting software, data products.
    • Maintain systems, SQL & related code bases and data products without introducing new defects.
    • Share knowledge with data engineering and other teams, properly documenting designs, systems architecture, enhancements, etc. to facilitate knowledge sharing.
    • Ensure that best practice development processes and standards, as adapted to data engineering and data science are followed.

    Qualifications and Training

    • Degree/Diploma/Equivalent with 4 years of relevant work experience or 6 years of relevant work experience in data engineering; other relevant fields will be considered.
    • Training in related areas and skills would be advantageous.
    • At least 2 years in lead data engineering role advantageous.
    • Certifications in Azure environment would be advantageous.

    Required Knowledge and Skills:

    • Deep understanding of Microsoft SQL Server Technologies (MSSQL, SSRS, SSIS, SSAS).
    • Strong hands-on experience with SQL, ETL processes and data warehousing methodologies.
    • Experience working with large data warehouses, including building and maintaining tabular/cube models in SSAS.
    • Excellent problem-solving skills, with the ability to easily determine best solution on large and different datasets.
    • Ability to translate business needs into data-driven SSRS reports, and then to present it with the relevant business acumen to internal and external stakeholders.
    • Effective communication and collaboration abilities to work closely with cross-functional teams.
    • Detail-oriented mindset with a commitment to delivering high-quality and robust processes.
    • Experience in the telematics or automotive industry is a plus.

    Technologies:

    • Project Participation: Agile frameworks like Scrum or Kanban.
    • Programming: Excel, SQL, DAX, Power-M Query, Python (advantageous).
    • Geospatial: QGIS is advantageous.
    • MS SQL: SQL, SSRS, SSIS and SSAS.
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