DATA ENGINEER X1

The Job Requirements:  Expert with ETL tools and BI Tools  Data Science / Data Engineering  Big data technologies: Hadoop  Network/Security/Credential management  Middleware Integration  Data Ingestion  Kafka experience and Knowledge  API orientated approach and knowledge  Demonstrated ability to foster an environment for ideation, prototyping and production  Strong understanding of data modeling, algorithms and data transformation techniques.  Must have IT Development and Systems Knowledge  Experience with software development methodologies and practices (Agile, Scrum, etc.)  Experience in Data Analysis and Advanced Proficiency in Microsoft Office suite, including Word, Excel, and Outlook  Strong Leadership Behaviours with good People Management skills and Problem Solving Skills  Strong Interpersonal skills to manage relationships with a variety of partners and stakeholders  Must have an excellent ability to multi-task effectively working on several projects synchronously  Experience in rolling out initiatives that leverage multiplatform technologies  Willingness to travel nationally and internationally  Willingness to work a 3 shift model  Ability to perform the minimum required physical and mental requirements of the function.  Leadership behaviours as per LEAD

Qualification and Experience  Minimum NQF 7 – BSC/BCom/BTech in Information Technology or B. Eng. (Industrial Engineering) or relevant equivalent or At least 6 months participation on our MBSA Graduate Development Programme.  Minimum 3+ Years’ experience in IT
Outputs  Liaise directly with various Mercedes-Benz manufacturing plants worldwide to provide product and service support.  Ensure to interpret business strategy and determine innovative solutions supporting strategy implementation.  Data Architecture design, modelling of data storage / data flow in data warehouses and operative systems. Manage data and meta-data.  Define the standards for data modelling and the maintenance thereof.  Support and maintain machine learning algorithm deployments. Build ETL (data extraction, transformation and loading) storages and analytical tools.  Manage and evaluate innovation pipeline assisting strategic decision-making and Goto-Market process.  Design, research, develop, analyse and suggest new concepts as well as strategies.  Lead and direct different cross-functional programs and projects of varied sizes and types concurrently.  Manage and attain customer expectations and ensure delivery to fulfil expectations.  Coordinate all cross-functional activities, represent customers internally and collaborate with leaders in varied areas on allocation across projects and resource planning.  Ensure to exercise decision-making and independent judgment while being aligned with customers and management.  Promote innovations to support business requirements through activities that test, pilot and implement innovative concepts  Roll out and analyse the effectiveness of initiatives that leverage multiplatform technologies  Initiate, develop and maintain a range of working relationships, within IT and from the business  Performing all outputs in compliance to the Company's Integrity Codes & S.H.E.Q requirements and to perform delegated S.H.E.Q. tasks and duties & to inform superior about deviations

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