Senior AI Data Engineer

Bachelor’s degree in Computer Science, Engineering, or a related field

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.

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.

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

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

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

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

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.

Strong documentation and communication skills

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