Our Client, a Global tech firm, is seeking a Senior Data Engineer (Junior, Intermediate, and Senior positions available) to join their team in Randburg on a contract basis. They offer stability, growth, attractive rates, and a great working environment.Candidates will be working fully onsite and need to be fully vaccinated (proof will be requested).The purpose of the Senior Data Engineer for Insights and Reporting role is to design and implement data models and architectures that enable business stakeholders to gain insights from large-scale datasets. This individual will work closely with cross-functional teams to understand business requirements and develop solutions that enable data-driven decision making. The Senior Data Engineer will be responsible for designing and developing ETL processes, pipelines, and data validation processes to ensure accuracy and consistency of data. They will also be responsible for developing and maintaining dashboards, reports, and visualizations that provide insights into key business metrics and trends.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.Key Roles And ResponsibilitiesDesign 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 the community.Challenge and contribute to the development of architectural principles and patterns.Mentor and coach junior data engineers to develop their skills and expertise.Academic Qualifications And CertificationsA Bachelor's Degree in Computer Science, Information Technology, or Equivalent Qualification.Technology Certifications in Databricks, Azure, Data Engineering, and other technologies highly advantageous.Minimum 5 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.Technical Skills RequiredLanguagesTransact SQLPythonSparkScalaTechnologiesAzure Data FactoryAzure Synapse AnalyticsAzure DevOpsData LakePower BISQL ServerDatabricks
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