Requirements

• The successful candidate will bring deep expertise in data engineering, distributed data processing, and cloud-native platforms, with a strong focus on AWS-based data ecosystems
• Proven experience in data engineering and cloud-based platform delivery
• Strong understanding of distributed data processing and scalable system design
• Ability to lead delivery while remaining hands‑on technically
• Strong analytical, problem‑solving, and communication skills
• Experience working in client‑facing and delivery-focused environments
• Ability to mentor and develop engineering teams
• Strong hands‑on experience with:
• AWS cloud services, especially AWS Glue
• Python / PySpark for large‑scale data processing
• SQL for querying, transformation, and validation
• Configuration‑driven development (e.g., YAML)
• Experience building and operating:
• Data pipeline...