An IT solution company dedicated to transforming data into actionable insights that drive business decisions are looking for a talented Data Engineer to join our dynamic team and play a pivotal role in leveraging cutting-edge technologies to optimize our data processes.
Responsibilities:
- Data Analysis: Analyze and interpret complex datasets using statistical methods to uncover valuable insights and trends.
- Data Mining: Utilize machine learning techniques to discover patterns in large datasets, enhancing our data-driven strategies.
- Data Visualization: Create impactful visualizations and dashboards that 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 that summarize findings and actionable recommendations.
- Collaboration: Work closely with data science team members and other departments to identify business problems and collaboratively develop innovative solutions.
- Programming: Write scripts and code in SQL to automate data analysis processes and streamline workflows.
Qualifications and experience:
- National Diploma in Information Technology or Bachelor of Degree
- Proven experience as a Data Engineer, with a focus on Azure and Fabric. (+ 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.
The Reference Number for this position is NG59795 which is a Permanent Hybrid position based in Midrand, Johannesburg is offering a cost to company of R550k up to R850k per annum, salary negotiable based on experience. E-mail Nokuthula on nokuthulaG@e-merge.co.za or call her for a chat on 011 463 3633 to discuss this and other opportunities.
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