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  • Posted: Nov 12, 2024
    Deadline: Not specified
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  • We provide end-to-end IT Solutions. With more than 20 years' experience in Data Analytics, Vito Solutions can handle any IT requirement. We assess and analyze business problems to provide you with a strategy and fit-for-purpose IT solution implementation. Our consulting team has years of experience in business applications, data analytics, data warehousing, ...
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    Data Engineer (Senior)

    DESCRIPTION OF POSITION:

    • The successful candidate should be able to communicate technical information to technical teams and be competent in communicating challenges and solutions to project and operational leadership. An understanding of data management solutions and a keen sense of the strategic value of information to an organisation will be important.
    • The successful candidate will also be responsible for developing data warehousing blueprints, evaluating hardware and software platforms, and integrating systems; translating business needs into long-term architecture solutions.
    • Ability to define a structured approach to problem-solving and delivery against it.
    • Ability to create design standards, patterns, and principles
      Ability to define a structured approach to problem-solving and delivery against it.
    • Creation of role-specific design standards, patterns, and principles.
    • Data management, development, and data modelling.
    • Engage with a wide range of technical stakeholders including data scientists, business analysts, data engineers, database administrators, and solutions architects.

    KNOWLEDGE AND SKILLS:

    • IT Data Analysis
    • Database Knowledge and Monitoring
    • Data Security
    • Risk Management

    EXPERIENCE REQUIRED:

    • 6+ years of related experience.
    • Application and data engineering background with a solid background in SQL is required.
    • Data architecture design and delivery experience preferred.
    • ETL.
    • Data warehousing (Kimball and Data Vault patterns are preferred.)
    • Dimensional data modelling (OLAP and MDX experience.)

    Experience in three (3) or more of the following areas would be beneficial:

    • Database technologies (e.g. SQL Server, SAP Hana or similar) and database development (Views, Functions, and Stored Procedure development.)
    • Hadoop components, including HDFS, Hive, Spark, Oozie, and Impala.
    • Object-oriented/object functional scripting languages: Python, Java, Scala, or related.
    • Event/Streaming-based data pipelines (e.g. Kafka or Nifi.)
    • SAP WebIDE.

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    Front End Developer (Senior)

    DESCRIPTION OF POSITION:

    Responsibilities:

    • Guide and support developers, fostering best practices within the team.
    • Lead the integration of cutting-edge front-end technologies and techniques.
    • Partner with architects and backend teams to create scalable, user-centric, and high-performance solutions.
    • Build, enhance, and refine web applications using React, Angular, and related frontend tools.
    • Ensure applications are responsive, high-performing, and maintainable across different platforms and devices.
    • Apply Test-Driven Development (TDD) to deliver well-tested and high-quality code.
    • Develop unit and integration tests to maintain the reliability and stability of the platform.
    • Collaborate with UI/UX designers, product owners, and other stakeholders to understand requirements and create effective solutions.
    • Participate actively in agile methodologies, contributing to sprint planning, daily stand-ups, and retrospectives.

    KNOWLEDGE AND SKILLS:

    • Knowledge of backend software development.
    • Exceptional communication skills, capable of guiding the team and interacting with a variety of stakeholders.
    • Strong leadership qualities, with a commitment to mentoring and knowledge sharing.
    • Familiarity with modern build tools, CI/CD pipelines, and cloud platforms.
    • Exposure to other front-end libraries or frameworks.

    QUALIFICATIONS REQUIRED:

    • Matric Certificate.

    EXPERIENCE REQUIRED:

    • At least five years of experience in React and other technologies such as Angular, with a strong grasp of web development fundamentals including HTML, CSS, and JavaScript.
    • Experience with TDD and related testing frameworks/tools.
    • Expert frontend development experience, with a proven track record of leading projects and teams.

    ADVANTAGEOUS SKILLS:

    • Bachelor's Degree in Information Technology field is preferred.

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    Data Analyst

    DESCRIPTION OF POSITION:

    Key Responsibilities:

    • Data Insights & Analysis: Create reports and interactive dashboards, perform descriptive analysis on retail and customer behaviours, and assess the effectiveness of different projects and initiatives.
    • System & Project Delivery: Oversee the implementation of system enhancements and contribute to predictive and prescriptive modelling projects.
    • Strategic Recommendations: Apply your analytical expertise to uncover opportunities, provide recommendations for future initiatives, and drive improved business results.

    KNOWLEDGE AND SKILLS:
    
    Technical Skills:

    • Big Query SQL, Python, or R.
    • Above average computer literacy (MS Office, Excel (Advanced), Google Workspace.)
    • Data visualisation tools (e.g. Data Studio, Tableau, Power BI.)
    • Knowledge of statistics and data modelling.
    • Knowledge of Data cleaning and enrichment.
    • Knowledge and understanding of POPIA.

    Soft Skills:

    • Business analysis.
    • Problem-solving.
    • Business acumen.
    • Comfortable working and presenting to all, across the organisation.
    • Analytical mindset and good problem-solving skills.
    • Have a creative and curious mind.
    • Proactive.
    • Can work independently.
    • Able to take responsibility and be self-motivated.
    • Able to develop ideas and share them clearly (in non-technical terms when required.)
    • Able to work within a team.
    • Guide, mentor, and share knowledge with the team.
    • Will respond in a supportive, patient, and friendly/approachable manner (passionate).

    Competencies: 

    • Devotion to quality.
    • Performing under pressure.
    • Presenting.
    • Structuring.
    • Listening Skills.
    • Persuasiveness.
    • Assertiveness.
    • Analysing and forming opinions.
    • Creativity.

    QUALIFICATIONS REQUIRED:

    • Degree in Business focusing on Analytical or Commercial subjects (e.g. Computer Science, Mathematics, Engineering.)

    EXPERIENCE REQUIRED:

    • At least five years of experience as an analyst, ideally within a marketing or digital agency environment, specialising in delivering customer insights to influence customer behaviour.

    ADVANTAGEOUS SKILLS:

    • Experience in the retail sector is a plus.

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    Cloud Data Engineer (Junior - Mid)

    DESCRIPTION OF POSITION:

    Client and Requirement Analysis

    • Comprehend and assess client demands and operational necessities.
    • Recognise, scrutinise, visualise, and grasp underlying data to suggest robust resolutions.

    Design and Development

    • Create and construct data tiers to drive Big Data analysis.
    • Plan and build data integration frameworks and guarantee effective data retrieval, transformation, and loading from diverse origins.
    • Create and maintain technical documentation.
    • Support existing solutions within GCP and Oracle.
    • Examine requirements and data, crafting data repository, and product strata.
    • Develop, test, and ensure the quality of data pipelines and layers.
    • Conduct peer evaluations and adhere to the Software Development Life Cycle (SDLC) procedures and documentation guidelines.

    Team Collaboration and Support

    • Engage proactively with the product team and offer cross-training and mentorship.
    • Provide timely status updates to the team.
    • Log change requests and accurately log time.
    • Participate in standby rotation.
    • Be a cooperative team member; consistently work together, interact socially, and stay involved with your product team and the broader team.

    Quality and Efficiency

    • Responsible for the delivery of value and quality solutions.
    • Drive ticket progress and ensure timely resolution.

    Operational Management

    • Manage GCP costs and IT responsibilities.
    • Guarantee the effective development of infrastructure necessary for the optimal extraction, transformation, and loading of data from diverse sources.

    KNOWLEDGE AND SKILLS:

    • Ownership and responsibility.
    • Strong problem-solving and critical-thinking skills.
    • Effective planning and organisational abilities.
    • Detail-oriented with excellent communication skills.
    • Ability to manage multiple tasks and adapt to changing priorities in a fast-paced environment
    • Curiosity and interest in analysing problems and solutions.
    • Strong teamwork capabilities.
    • Self-driven and passionate about new technology.
    • Knowledge of cloud platforms (e.g. AWS, Azure, Google Cloud) and their data services.

    QUALIFICATIONS REQUIRED:

    • Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related field.

    EXPERIENCE REQUIRED:

    • 3 - 5 years of data warehouse, ETL experience.
    • Experience with Google Cloud Platform.
    • Proficiency in SQL and experience with relational databases (e.g. BigQuery, PostgreSQL, MySQL, SQL Server).
    • Experience with dimensional modelling and data analysis.
    • Preferred experience with data visualisation tools and the retail industry.
    • Understanding of version control (SVN/GIT) and proficiency in programming languages such as Python, Java, Korn shell scripting, and SQL.
    • Broad understanding of different SDLCs.
    • Exposure to Agile methodologies.

    Method of Application

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