Description

You will own the technical design and delivery of complex data solutions.

This role is on-site.

Responsibilities

• Design and implement data solutions using Lakehouse patterns.
• Develop and refine ETL processes for large-scale data transformation.
• Build and debug data components, moving beyond purely advisory roles.
• Lead technical conversations with clients, managing expectations and handling escalations.

Required Skills

• 12+ years of experience combining solution architecture with hands-on delivery.
• Expert proficiency in PySpark and Python for large-scale data processing.
• Hands-on experience with Databricks (Lakehouse, ETL, Analytics, or AI workloads).
• Experience designing and implementing microservices-based architectures.
• Strong client-facing skills for leading technical discussions.
• Experience with ETL and Data Analytics frameworks.

Key Skills

Education

Any Graduate