QA Automation Engineer

Morningstar Credit Ratings, LLC; Mumbai; Hybrid; INR 900,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Morningstar India Private Ltd. is seeking a Quality Assurance Engineer to ensure the accuracy, reliability, and readiness of the firm’s modernization of investment calculation services.

The role blends data quality analysis, automation strategy, and domain knowledge development to support core calculation platforms. Responsibilities include validating data across TSDB, PostgreSQL, and AWS data stores; writing Python utilities for quality checks; and designing automation frameworks for a

Qualifications

• Bachelor's degree or higher in Computer Science or related field.
• 1-3 years of Python experience in a commercial application environment.
• Minimum 2 years of SQL and relational database experience.
• Experience with AWS cloud services (Lambdas, ECS, EC2, S3, RDS, API Gateway, Serverless).
• Experience with Agile methodologies and JIRA.

Responsibilities

• Validate data quality across TSDB, PostgreSQL, and MS SQL; investigate discrepancies and root causes.
• Develop Python utilities to support ongoing data quality assessments and reporting.
• Define and implement the automation strategy for modernization initiatives and testing pipelines.

Skills

Python programming

SQL

Data analysis

Agile methodologies

Education

Bachelor's degree in Computer Science or related field

Tools

JIRA

AWS cloud

Job description

The Quality Assurance Engineer will play a critical role in ensuring the accuracy, reliability, and readiness of the firm’s modernized Investment Calculation Services. This position combines deep data quality analysis, automation strategy, and domain knowledge development to support the transformation of core calculation and data platforms.

Key Responsibilities

Data Quality Validation & Root Cause Analysis: Utilize internal comparison tools to evaluate data quality—accuracy, completeness, consistency, coverage, and timeliness—across multiple storage systems, including: TSDB 1.0 (file-based) vs. PostgreSQL On‑premises MS SQL vs. AWS‑hosted MS SQL Investigate and analyze data discrepancies by tracing upstream sources (e.g., XII, Document Warehouse) to identify and verify root causes. Develop scripts or Python-based utilities to support ongoing data quality assessment and reporting.

Domain Knowledge & Insights: Leverage internal AI knowledge bases to understand complex business data flows, underlying business logic (including logic reverse‑engineered from code), data dependencies, data mappings, data lineage, and the broader investment‑calculation domain. Apply domain insights to enhance testing completeness and ensure alignment with business logic and system behaviors.

Test Automation Strategy & Execution: Define, establish, and refine the automation strategy for modernization initiatives. Design and implement automation frameworks that support the application’s complex and distributed architecture. Translate business and technical requirements into comprehensive, maintainable automated test cases. Own the QA lifecycle for assigned components, providing testing guidance and best practices to engineering teams.

Qualifications

A bachelor's in Computer Science or related. At least 1-3 years of experience in Python in a commercial application or commercial service environment. Minimum 2 years of experience working with SQL and relational databases. Experience analyzing and validating large-scale datasets. Experience in AWS cloud first architecture like Lambdas, ECS, EC2, Fargate, S3, RDS DB, API gateway, Serverless, Redis Cache, SQS, ASG/LB/TG, CloudWatch and Code Pipeline. Familiarity with secure coding practices. Experience with Agile methodology and tools like JIRA. Be organized and able to remain productive even when you have multiple deliveries.

Nice to have: Familiarity with the financial services domain (accounts, portfolios, holdings, returns, performance streams, traded instruments, etc.)

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

Company Information

I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

Morningstar is a global independent investment research and financial data company. Here, you'll help uncover what’s hidden, simplify what’s complex, and create insights that empower investor success. Company overview Morningstar Development Program Morningstar is strongly committed to creating and preserving equal opportunity for all employees and applicants.

Equal Opportunity and Diversity Statement

We make all employment decisions—including recruitment, hiring, compensation, training, promotion, transfer, discipline, termination, and other personnel matters—without regard to race, color, ancestry, religion, sex, national origin, age, disability, protected veteran status, marital status, sexual orientation, genetic information, citizenship, gender identity and expression, parental status, or other legally protected characteristics or conduct.