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- Design, develop, and maintain scalable data pipelines and ETL processes.
- Create data models and implement integration solutions using SQL and Hadoop.
- Build interactive dashboards and reports using Power BI and QlikView to support business decision-making.
- Collaborate with cross-functional teams to define and deliver data solutions.
- Ensure data quality, accuracy, and security while optimizing data workflows for performance and reliability.
- Monitor, troubleshoot, and improve existing data pipelines and infrastructure.
- 3-5 years of proven experience as a Data Engineer or in a similar role.
- Proficiency in Python for data manipulation and automation.
- Strong SQL skills for querying, data modeling, and database management.
- Experience with Power BI and QlikView for data visualization and reporting.
- Hands-on experience with Hadoop and related big data technologies.
- Experience in the investments or banking industry.
- Familiarity with cloud platforms (e.g., Azure, AWS, GCP).
- Knowledge of data governance and security best practices.
- Excellent problem-solving skills with strong attention to detail.
- Ability to work in a fast-paced, collaborative environment.
Data Engineer - Sandton - DeARX

Description
We are seeking a skilled Data Engineer to support our organization. The ideal candidate will have 3-5 years of experience in data engineering, analytics, and business intelligence.
Key Responsibilities:
Requirements:
This position is a 12-month contract. Experience in the investments or banking industry is highly desirable.
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Data Engineer
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