Job Openings
Senior Data Engineer
About the job Senior Data Engineer
Senior Data Engineer [6 Month Contract]
Minimum Requirements:
- Matric (Grade 12)
- A Bachelors Degree in Computer Science, Information Technology or Equivalent Qualification
- Technology Certifications in Databricks, Azure, Data Engineering and other technologies highly advantageous
- Minimum 8 years experience as a Data Engineer
- Proficiency in SQL, Python and other programming languages commonly used in data engineering.
- Experience with data visualization tools such as Paginated reports (SSRS), Power BI, Tableau or QlikView
- Experience in developing solutions in cloud technologies including but not limited to Azure, Databricks, SQL and Data Lake
- Experience with distributed computing systems, such as Hadoop and Spark
- Experience in Dimensional Modeling
Responsibilities:
- Interpret requirements provided by business and develop accurate and sustainable solutions from the planning stage through to the productionised solution
- Analyse, interpret and display data sets to ensure data driven solutions that address challenges and business needs within Multichoice
- Ensure solutions adhere to standards and best practices and participate in solution reviews to ensure all solutions fit within standards
- Operate within project environments and participate in CII continuous improvement efforts
- Design and develop data models, ETL processes, and pipelines to support data ingestion, transformation, and analysis.
- Work with cross-functional teams to identify data requirements, prioritize data initiatives, and drive solutions that enable data-driven decision making
- Develop and maintain dashboards, reports, and visualizations that provide insights into key business metrics and trends
- Design and implement data quality and data validation processes to ensure accuracy and consistency of data
- Develop and maintain documentation for data models, data lineage, and data flow
- Lead technical delivery within squads and provide oversight of solutions
- Share knowledge and practical experience with community
- Challenge and contribute to development of architectural principals and patterns
- Mentor and coach junior data engineers to develop their skills and expertise