Design, develop, and optimize AWS-based solutions, leveraging Amazon's well-architected frameworks and serverless technologies

Enhance and maintain existing platforms using AWS services in an Agile environment

Develop solutions using Python 3 and Python data management/manipulation libraries, integrating with AWS components

Lead UI & API testing efforts to ensure robust and scalable applications

Work across the full data pipeline: ingestion, mastering, management, and consumption/distribution of large datasets

Create and implement QA/Automation frameworks from scratch

Integrate automation scripts with Continuous Integration tools for daily automated regression testing

Participate in all stages of the Software Development Process and Quality Assurance Life Cycle

Design functional and non-functional tests, including crafting test cases, test scenarios, test scripts, and test reports

Strong expertise in AWS engineering and serverless solutions

Proficient in Python 3 and related data management/manipulation libraries

Experience with UI & API testing

Skilled in data testing using SQL

Proven ability to work in the Data domain, handling large datasets

QA/Automation capabilities, including test automation framework creation

Experience integrating automation with CI tools

Financial Services experience preferred, especially with Equity and Fixed Income asset classes and indices

Comprehensive understanding of the Software Development and Quality Assurance Life Cycle

Strong test design skills

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

Financial Services industry experience