Exciting Opportunity: Data Engineer (MLOps / Analytics Focus) in Johannesburg
Are you a tech-savvy professional ready to dive into the world of data engineering? Blue Pearl is currently seeking a skilled Data Engineer with a focus on MLOps and analytics in the vibrant city of Johannesburg, Gauteng.
Key Responsibilities
- Develop and maintain robust data pipelines for MLOps and analytics to ensure data integrity and availability.
- Collaborate with cross-functional teams to gather data requirements and deliver actionable insights.
- Implement best practices in data management, processing, and visualization to improve data-related workflows.
- Optimize existing data architectures for performance and scalability to accommodate growing data needs.
- Stay updated with the latest trends in data engineering, MLOps, and analytics to continuously enhance skills.
Requirements
- Qualification: Bachelor’s degree in Computer Science, Data Science, or a related field.
- Experience: Minimum 3 years as a Data Engineer or in a similar role, specifically with MLOps experience.
- Skills: Proficient in Python, SQL, and cloud services (e.g., AWS, Azure).
- Knowledge: Familiarity with data frameworks like Apache Spark, Kafka, or similar technologies.
- Specialization: Strong analytical skills and experience in machine learning operations.
💰 Salary Insight
Estimated Offer: R30,000 – R50,000 per month.
(Note: Salary figures are based on data provided by the recruiter and market estimates.)
🔮 3 Common Interview Questions for this Role
- “Can you explain how you would design an efficient data pipeline for a new ML model?”
- “What strategies do you use to manage and optimize large datasets?”
- “How do you ensure the quality and reliability of data in your projects?”
Tips on Crafting a CV for this Role
- Showcase Your Technical Skills: Clearly list relevant programming languages and tools, especially Python and SQL.
- Project Experience: Include specific projects where you successfully implemented MLOps solutions.
- Highlight Collaboration: Mention any cross-functional teams you’ve worked with to underline your teamwork skills.
Related Job Titles: Data Scientist, Machine Learning Engineer, Data Analyst, BI Developer.
