Data Engineering Expert for Azure and Fabric Solutions
2 weeks ago
At E-Merge, a leading IT solution company dedicated to transforming data into actionable insights that drive business decisions, we are seeking a talented Data Engineer to join our dynamic team. This role will play a pivotal part in leveraging cutting-edge technologies to optimize our data processes.
Key Responsibilities- Data Analysis: Utilize statistical methods to uncover valuable insights and trends in complex datasets.
- Data Mining: Apply machine learning techniques to discover patterns in large datasets and enhance our data-driven strategies.
- Data Visualization: Create impactful visualizations and dashboards to effectively communicate data insights to stakeholders.
- Data Cleaning: Ensure the accuracy and completeness of data by cleaning and preprocessing datasets.
- Data Modelling: Build and test predictive models to forecast future trends and outcomes, supporting strategic decision-making.
- Reporting: Develop comprehensive reports and presentations summarizing findings and actionable recommendations.
- Collaboration: Work closely with data science team members and other departments to identify business problems and develop innovative solutions.
- Programming: Write scripts and code in SQL to automate data analysis processes and streamline workflows.
- National Diploma in Information Technology or Bachelor's Degree.
- Proven experience as a Data Engineer, focusing on Azure and Fabric, with a minimum of 3 years.
- Relevant certifications in Azure and data engineering.
- Strong proficiency in data analysis, data mining, and statistical methods.
- Experience with data visualization tools and techniques.
- Solid understanding of data cleaning and pre-processing methodologies.
- Familiarity with predictive modelling and forecasting techniques.
- Proficiency in SQL and experience with automating data workflows.
This is a Permanent Hybrid position based in Midrand, Johannesburg. The salary range is R550k - R850k per annum, negotiable based on experience.
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