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- Data Pipeline Design and Build: Create modern data pipelines and data storage platforms, including data warehouses and lakehouses using best-in-class tools and technologies.
- Data Exposure: Utilize advanced visualization platforms like Power BI, Azure API Apps, or other modern data visualization tools to expose data to end users, driving business insights and informed decision-making.
- Business Analysis: Analyze current business practices, processes, and procedures to identify future opportunities for leveraging Microsoft Fabric data & analytics services, ensuring alignment with business objectives and growth strategies.
- Implementation Support: Assist in the planning and implementation of data platform services, including sizing, configuration, and needs assessment, ensuring seamless integration and optimal performance.
- Metrics and Monitoring: Implement effective metrics and monitoring processes to ensure data quality and performance, maintaining high standards of accuracy and reliability.
- Client Engagement: Work as a trusted advisor to our clients, providing guidance and mentoring to other team members as needed, building strong relationships and establishing yourself as a subject matter expert in data engineering.
- Experience: 4+ Years as a Data Engineer and a Minimum 3 years of experience with ETL tools, Data Factory Pipelines, Spark Notebooks, Databricks, SQL, SSAS & T-SQL.
- Technical Skills: Strong understanding of architecture patterns (Lambda, Medallion, Event-Driven), data visualization using Power BI and Paginated Reports, and data governance including Master Data Management (MDM) and Data Quality tools and processes.
- Platform Knowledge: Good working understanding of Azure, Fabric, and Synapse, with experience in designing and implementing scalable and secure data platforms.
- Consulting Experience: At least 3 years of consulting experience at a senior or intermediate level, with the ability to present to and engage with senior management, driving business outcomes and delivering value to clients.
- Diverse Team: Work with a diverse team of experts in Software Engineering, Infrastructure, Data & AI, and BI Development, fostering innovation and collaboration.
- Strategic Projects: Opportunity to work on new and strategic projects for top-tier clients, driving business growth and improving operational efficiency.
- Career Development: Develop your career in a supportive and innovative environment, with opportunities for growth and advancement, and access to cutting-edge technologies and industry trends.
- Client Relationships: Build and maintain excellent client relationships at a senior management level, achieving trusted advisor status and driving long-term partnerships.
Data Engineer - Johannesburg - Smart4Energy

Description
AI-Powered Data Engineering Expertise
About the Role
We are seeking a skilled Data Engineer to join our clients team on a 12-month contract, working closely with them to develop solutions that enhance their Microsoft Analytics ecosystem.
This role involves working on complex projects for well-known companies, providing an excellent opportunity to grow your career as a trusted advisor and subject matter expert in data engineering.
Key Responsibilities
Qualifications
Why Join?
Seniority Level
Mid-Senior Level
Employment Type
Contract
Job Function
Information Technology
Industries
IT Services and IT Consulting and Technology, Information and Media
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