Data Engineer - Datafin IT Recruitment
Cape Town 2 years ago Permanent Salary - Market Related
Data Engineer
Datafin IT Recruitment
Cape Town
Date Created : 2 years ago
Job Type : Permanent
Salary : Market Related
- Data Integration: Collaborate with cross-functional teams to collect, clean, and integrate data from various sources, ensuring data accuracy and consistency.
- Microsoft BI: Utilize Microsoft Business Intelligence (BI) tools such as Power BI and SQL Server Reporting Services to create insightful data visualizations, reports, and dashboards.
- Complex Equations: Develop and implement complex mathematical and statistical models to extract meaningful insights from large datasets.
- Financial Systems: Work with financial data, including but not limited to budgeting, forecasting, and financial reporting, to support data-driven decision-making.
- Agritech Experience: If applicable, apply your knowledge of agritech to analyse and manipulate agricultural data for improved decision support and operational efficiency.
- Data Warehouse Management: Design, build, and maintain data warehouses and ETL (Extract, Transform, Load) processes to ensure data availability and reliability.
- Data Quality Assurance: Implement data quality checks and validation procedures to maintain data integrity and consistency.
- Performance Optimization: Identify and resolve performance bottlenecks in data processing pipelines to ensure efficient data retrieval and processing.
- Documentation: Maintain comprehensive documentation for data engineering processes, workflows, and solutions.
- Collaboration: Collaborate with stakeholders to understand their data needs and deliver solutions that enable data-driven decision-making.
- Bachelor’s degree in Computer Science, Data Science, or a related field (Master’s degree preferred).
- Proven experience as a Data Engineer or a similar role, with a strong background in data manipulation and integration.
- Proficiency in Microsoft BI tools, including Power BI and SQL Server Reporting Services.
- Strong analytical and problem-solving skills, with the ability to work with complex equations and mathematical models.
- Experience working with financial data and financial systems is highly desirable.
- Familiarity with agritech and agricultural data is a plus.
- Proficiency in SQL, ETL processes, and data warehousing concepts.
- Experience with data modeling and schema design.
- Knowledge of cloud platforms (e.g., Azure, AWS, GCP) is a plus.
- Strong programming skills in languages such as Python, Java, or Scala.
- Excellent communication and teamwork skills.
- Attention to detail and a commitment to data quality.
While we would really like to respond to every application, should you not be contacted for this position within 10 working days please consider your application unsuccessful.
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