Sr QA Automation Engineer Data
Sr QA Automation Engineer Data
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Job Description
Responsibilities:
- Test Automation & Framework: Lead the development of automated test framework for financial data pipelines using PySpark/Python and AWS services (e.g. Glue Athena EMR Redshift) Should be able to write test cases based on product requirement execute them and report issues
- Data Validation: Automate data validation for financial data sets (like back test datasets prices and returns data and other calculated metrics) ensuring data consistency and correctness across distributed systems
- Big Data Testing: Use PySpark / Python to test large financial datasets validating performance accuracy and scalability in AWS environments
- Collaboration: Work with data analysts portfolio managers and quant researchers to define test requirements and ensure data quality in financial data sets like Back test universe Risk Models and reports
- Continuous Improvement: Optimize test processes creating reports and frameworks for efficiency integrating new tools and best practices for cloudbased systems
Requirements:
Education:
- Bachelors or MBA/Masters degree in a quantitative financial discipline or engineering
- 3 years of handson experience in QA automation with a focus on datadriven financial solutions preferably in AWS environment
Technical Expertise:
Automation Frameworks & Tools:
- Strong knowledge of a testing framework for API and datadriven test automation
- Handson experience with integrating test automation into Code Pipeline or cloudbased CI/CD systems to ensure consistent and reliable testing
Data Analysis & Financial Modeling Knowledge:
- Proficiency in SQL and MS Excel and ability to work with large financial datasets performing data validation for downstream usage of financial calculations and reports.
Performance Testing & Optimization:
- Experience in performance testing and load testing for large financial data applications optimizing AWSbased systems for scalability and reliability
Skill that would be a plus:
- Strong proficiency in Python with extensive experience using PySpark to process large datasets and validate financial data across distributed systems
- Strong expertise in AWS services including S3 Glue EMR to design and automate testing for financial data systems in the cloud
- Basic understanding of financial data analysis workflows and key financial metrics including portfolio performance risk management and pricing models
- Experience with AWS CDK CloudFormation or Terraform for infrastructure automation ensuring test environments are reproducible and scalable
Personal Attributes:
- Excellent ability with a strong track record of fostering collaboration across multiple teams
- Exceptional problemsolving skills with the ability to troubleshoot complex data issues and identify root causes in largescale cloudbased systems
- Strong communication skills with the ability to present technical information clearly to both technical and nontechnical stakeholders
- Highly motivated proactive and passionate about continuous learning keeping abreast with emerging trends in cloud technologies data analysis and automation
Morningstar is an equal opportunity employer.
Morningstars hybrid work environment gives you the opportunity to work remotely and collaborate inperson each week. Weve found that were at our best when were purposely together on a regular basis at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are youll have tools and resources to engage meaningfully with your global colleagues.
I10MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal EntityRequired Experience:
Senior IC
Employment Type
Full-Time
