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- Tertiary degree in Computer Science or related field.
- DP-203: Data Engineering on Microsoft Azure Certification.
- 8-10 years' experience as a Data Engineer/Database Developer.
- Experience in data mining, large-scale data modeling, and business requirements gathering/analysis.
- Understanding of data integration and transformation.
- Experience implementing data modeling methodologies like Dimensional Modeling and/or Data Vault.
- Working knowledge of data quality processes and master data management.
- Experience implementing design support systems using Database Management Systems (DBMS) such as SQL Server or Oracle.
- Proficiency in designing and implementing data integration and ETL solutions using SSIS, Azure Data Factory, and/or SQL Server stored procedures.
- 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.
- Experience in database query languages such as T-SQL, ANSI SQL, PL/SQL.
- Some experience developing software solutions using Visual Basic, C++, C#, Java, or Python.
- Experience using SQL Server management Studio and Visual Studio.
- Experience implementing solutions using Azure SQL databases, Azure Synapse (previously SQL Data Warehouse), Azure Storage Accounts (Data Lake), and/or Databricks.
- Analytical mind and business acumen.
- Additional skills in Tableau, Power BI, strong math skills (e.g., statistics, algebra), Scala, Python, or R will be considered.
- Identify valuable data sources and automate collection processes.
- Preprocess structured and unstructured data.
- Analyze large datasets to discover trends and patterns.
- Design and implement data models.
- Develop databases.
- Design and develop data warehouses.
- Administer databases.
- Optimize database performance.
- Present information using data visualization techniques.
- Propose solutions to business challenges.
- Collaborate with engineering and product development teams.
- Architect analytical applications in cloud environments.
- Implement real-time analytics and batch processing.
- Critical Thinking: Apply logic and reasoning to identify strengths and weaknesses of alternative solutions.
- Active Learning: Understand implications of new information for current and future problem-solving.
- Systems Analysis: Determine how a system should work and how changes will affect outcomes.
- Complex Problem Solving: Identify complex problems and review related information to develop and evaluate options.
- Deductive Reasoning: Apply general rules to specific problems to produce answers that make sense.
- Inductive Reasoning: Combine pieces of information to form general rules or conclusions.
- Excellent Communication Skills: Engage with stakeholders and communicate a deep understanding of the business and technology.
- Technical Literacy: Possess high-level technical literacy to determine how software solutions fit into an organization's structure.
- Analytical Assessment: Examine current systems and determine overall project needs and scope.
- Schedule Management: Determine development schedules and milestones to ensure deliverables are completed on time.
- Team Leadership: Oversee and direct development teams throughout the project development lifecycle.
- Ability to translate strategy into measurable projects.
- Experience working on large projects incorporating processes and procedures.
Senior Data Engineer - Pretoria - Moyoafrica

2 weeks ago

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:
Experience:
Key Responsibilities:
Competencies:
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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