QA Automation Engineer (Data)

001_MstarInc Morningstar Legal Entity · Banking & Financial Services

Mumbai
On-site
Posted today
Software Engineering

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About the job

The Area : The Investment Management group is a global team guided by Morningstar’s investment principles focused on delivering great long-term investment results to help end-investors reach their financial goals.  We use our  expertise  in asset allocation, investment  selection  and portfolio construction to create world-class investment strategies  leveraging  the full resources of Morningstar. The group specializes in multi-asset investing, using building blocks in equities, fixed  income  and alternative investments to construct robust portfolios.  Through our investment offerings, we serve financial advisers and institutions, and the investors that they serve.

Shift: UK Shift

Role Summary :

The  Data Quality Automation Engineer will join the Systematic Strategies team in the Research & Investment group. This experienced professional wil l design and implement automated data quality controls, validation frameworks, reconciliation processes, and monitoring solutions across enterprise-scale data platforms. The ideal candidate combines expertise financial data management and automation engineering, with a passion for building scalable controls that improve data quality and operational efficiency.

Key Responsibilities

The successful candidate will

Design, build, and maintain enterprise-scale automated data quality frameworks like Great Expectations, AWS Glue Data Quality, Amazon Deequ , or similar data validation frameworks

Experience implementing and maintaining data quality controls by establishing quality metrics for multi-asset class financial datasets.

Develop automated monitoring controls capable of identifying anomalies, outliers, missing data, stale data, and reconciliation breaks

Validate investment datasets sourced from multiple external providers including Bloomberg, FactSet, Morningstar, LSEG, and other market data vendors

Develop automated source-to-target reconciliation frameworks across ingestion, transformation, and reporting layers

Collaborate with Data Engineering teams to embed data quality controls throughout ETL/ELT pipelines

Support onboarding and robustness checks for new datasets including validation of data completeness, accuracy, consistency, and fitness for downstream investment and research workflows

Requirements:

Advanced Python development

Strong SQL and data analysis skills

Hands-on experience with PySpark and distributed data processing

Experience building automated data validation and reconciliation frameworks

Experience working with large-scale structured and semi- structured datasets in financial domain

Data profiling, anomaly detection, and root-cause analysis experience

Required Technical Skills

Advanced SQL, Python, and PySpark skills

Exp osure to designing, developing, and maintaining automated data quality frameworks

Strong expertise in financial data testing, data profiling and root cause analysis

Exposure to cloud-based data platforms and services ( AWS preferred )

Exposure to AI productivity tools such as ChatGPT, Microsoft Copilot, and GitHub Copilot, with responsible validation of AI-generated outputs.

Preferred Qualifications

Bachelor's or master's degree in quantitative, financial, economic, or engineering discipline

2 + years of experience in Data Quality Engineering, Data Engineering, Analytics Engineering, Financial Data Management, or Investment Technology

Morningstar is an equal opportunity employer.

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.

I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

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