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  • Senior Data Engineer - Pretoria - Moyoafrica

    Moyoafrica
    Moyoafrica Pretoria

    2 weeks ago

    Default job background
    Description

    Senior Data Engineer

    We are seeking an experienced Senior Data Engineer to drive technical vision and planning.

    Primary Responsibilities:

    The ideal candidate will have a knack for data analysis, manipulation, and modeling. They will be responsible for understanding business needs and translating them into technical strategy.

    Requirements:

    1. Tertiary degree in Computer Science or related field.
    2. DP-203: Data Engineering on Microsoft Azure Certification.

    Experience:

    1. 8-10 years' experience as a Data Engineer/Database Developer.
    2. Experience in data mining, large-scale data modeling, and business requirements gathering/analysis.
    3. Understanding of data integration and transformation.
    4. Experience implementing data modeling methodologies like Dimensional Modeling and/or Data Vault.
    5. Working knowledge of data quality processes and master data management.
    6. Experience implementing design support systems using Database Management Systems (DBMS) such as SQL Server or Oracle.
    7. Proficiency in designing and implementing data integration and ETL solutions using SSIS, Azure Data Factory, and/or SQL Server stored procedures.
    8. Understanding of several Big Data technologies like Hadoop, MapReduce, and Spark, as well as event processing or message ingestion services like Kafka, Event Hub, and Stream Analytics.
    9. Experience in database query languages such as T-SQL, ANSI SQL, PL/SQL.
    10. Some experience developing software solutions using Visual Basic, C++, C#, Java, or Python.
    11. Experience using SQL Server management Studio and Visual Studio.
    12. Experience implementing solutions using Azure SQL databases, Azure Synapse (previously SQL Data Warehouse), Azure Storage Accounts (Data Lake), and/or Databricks.
    13. Analytical mind and business acumen.
    14. Additional skills in Tableau, Power BI, strong math skills (e.g., statistics, algebra), Scala, Python, or R will be considered.

    Key Responsibilities:

    1. Identify valuable data sources and automate collection processes.
    2. Preprocess structured and unstructured data.
    3. Analyze large datasets to discover trends and patterns.
    4. Design and implement data models.
    5. Develop databases.
    6. Design and develop data warehouses.
    7. Administer databases.
    8. Optimize database performance.
    9. Present information using data visualization techniques.
    10. Propose solutions to business challenges.
    11. Collaborate with engineering and product development teams.
    12. Architect analytical applications in cloud environments.
    13. Implement real-time analytics and batch processing.

    Competencies:

    1. Critical Thinking: Apply logic and reasoning to identify strengths and weaknesses of alternative solutions.
    2. Active Learning: Understand implications of new information for current and future problem-solving.
    3. Systems Analysis: Determine how a system should work and how changes will affect outcomes.
    4. Complex Problem Solving: Identify complex problems and review related information to develop and evaluate options.
    5. Deductive Reasoning: Apply general rules to specific problems to produce answers that make sense.
    6. Inductive Reasoning: Combine pieces of information to form general rules or conclusions.
    7. Excellent Communication Skills: Engage with stakeholders and communicate a deep understanding of the business and technology.
    8. Technical Literacy: Possess high-level technical literacy to determine how software solutions fit into an organization's structure.
    9. Analytical Assessment: Examine current systems and determine overall project needs and scope.
    10. Schedule Management: Determine development schedules and milestones to ensure deliverables are completed on time.
    11. Team Leadership: Oversee and direct development teams throughout the project development lifecycle.
    12. Ability to translate strategy into measurable projects.
    13. Experience working on large projects incorporating processes and procedures.

    Moyo Culture and Values:

    We seek understanding.
    We make a difference.
    We've got your back.
    We are leaders.
    We are reliable.
    We are brave.

    Our company provides equal employment opportunities to all.


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