Date | 2024-11-25 |
---|---|
Job Title | Data Engineer |
Employer | Hire Resolve More Information |
Salary | 0 |
Category | It Computer |
Location |
Gauteng / Johannesburg |
Job Summary
Hire Resolve is seeking a talented Data Engineer on behalf of our client, a leading provider of Customer Relationship Management (CRM) software solutions. This is an exciting opportunity to join a dynamic team that specializes in developing innovative CRM systems, designed to help businesses manage and enhance customer relationships. As a Data Engineer, you`ll play a key role in optimizing data pipelines, ensuring seamless data integration, and driving insights that enhance the overall CRM experience for users. If you`re passionate about data engineering and thrive in a tech-driven environment, we`d love to hear from you.
Responsibilities
- Automate repetitive data workflows to improve processing efficiency and reduce manual tasks.
- Collaborate with data scientists, machine learning engineers, and other stakeholders to understand data requirements and deliver effective solutions.
- Build and optimize ETL (Extract, Transform, Load) processes for accurate and streamlined data collection, transformation, and storage.
- Maintain thorough documentation of data processes, systems, and workflows for transparency and future reference.
- Integrate data from various sources, including APIs, databases, and external platforms, ensuring seamless data flow.
- Manage and enhance database systems with a focus on data integrity, performance, and security.
- Design, implement, and maintain scalable data pipelines and infrastructure for efficient data flow and management.
Requirements
- Technical Skills:
- Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
- Knowledge of big data tools and technologies (e.g., Hadoop, Spark).
- Experience with data pipeline and workflow management tools.
- Proficiency in programming languages such as Python.
- Experience with cloud services (e.g., AWS, GCP, Azure) and data warehousing solutions (e.g., Redshift, BigQuery).
- Familiarity with data modeling, data warehousing, and ETL processes.
- Experience: Proven experience as a Data Engineer, Data Architect, or in a similar role.
- Education: Bachelors or Masters degree in Computer Science, Information Technology, or a related field.
Benefits
-
Salary:
Negotiable
Contact Hire Resolve for your next career-changing move.