CallCenterNinjaAbout Sutherland
Artificial Intelligence. Automation. Cloud engineering. Advanced analytics. For business leaders, these are key factors of success. For us, they’re our core expertise.
We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence.
We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model.
For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA. We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships.
Sutherland
Unlocking digital performance. Delivering measurable results.
Strong hands-on experience in AWS Data Engineering - S3, Lambda, Athena, S3, API Gateway, CloudFront, ECS and Glue
Solid understanding of data modeling, partitioning strategies, and performance tuning in large datasets
Familiarity with tools like CloudFormation for infrastructure automation
Proficiency in Python and SQL
Strong in SQL, Datawarehousing, Data Modelling
Awareness of latest datalake architectures (Iceberg, S3 tables, duckdb)
Knowledge of serviceability domain use cases such as diagnostics, telemetry, and predictive service operations is a plus
Our most successful candidates will have: - Academic: BE / BTECH (CSE, IT), B.Sc. (Computers), BCA / MCA Or Other Bachelor / Master’s Degree in Computing / IT preferred - Functional Domain: Healthcare IT / IT Services Delivery domain.
All your information will be kept confidential according to EEO guidelines.