AI Data Engineer

Category Essential for this role Education and Qualifications Bachelor s degree in Computer Science, Engineering, or a related field Work Experience 1. 5-8 years of experience in data engineering, data platform engineering, or cloud-scale analytics solution delivery, with demonstrated ownership of production pipelines and platform components.

Technical / Professional Skills

Please provide at least 3

1. Proven ability to independently design, build, optimise, and operate production-grade batch or streaming data pipelines, including orchestration, observability, error handling, performance tuning, and operational support.

2. Hands-on experience with Python and SQL for data transformation and validation

3. Familiarity with Apache Spark (especially PySpark) and large-scale data processing concepts

4. Experience with implementing knowledge base and RAG solutions for agentic AI use cases

Non-Technical / Soft Skills

1. Self-starter with strong problem-solving skills and a keen attention to detail

2. Able to work independently and lead technical discussions with engineers, architects, product owners, source-system teams, and business stakeholders to translate requirements into secure and maintainable platform solutions.

3. Strong documentation and communication skills

Other Task-Specific Knowledge 1. Strong understanding of enterprise data architecture, cloud security, access control, CI/CD, release management, and production operations for data and AI platform solutions.