Andheri Mumbai Maharashtra Qa automation engineer (data) Jobs – 4 Open Jobs Today

QA Automation Engineer (Data)
Morningstar —Mumbai, Maharashtra
- Full-time
- Hybrid work
- Data analysis skills
- Master's degree
- SQL
6h
Tester / QA Engineer – Data Testing / ETL
Rupa Career Solutions —Mumbai, Maharashtra
- ₹9,13,180.28 - ₹15,13,840.88 a year
- Full-time
- Computer Science
- Master's degree
- SQL
Quick apply
13d
Senior Quality Engineer - Data
PayU —Mumbai, Maharashtra
- Oracle
- SQL
- AWS
Data and Visualisation Senior Engineer
M&G plc —Mumbai, Maharashtra
- Full-time
- Azure
- SQL
- Bachelor's degree

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QA Automation Engineer (Data)

Morningstar -
Mumbai, Maharashtra

Apply Now

Job details

Full-time
6 hours ago

Qualifications

Data analysis skills
Git
Bloomberg
Master's degree
SQL
AWS
Analysis skills
Bachelor's degree
Data management
Morningstar
GitHub
AI
Python

Full job description

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

Apply Now

Refine Your Search

qa automation engineer (data) jobs in andheri mumbai maharashtra

QA Automation Engineer (Data)

Tester / QA Engineer – Data Testing / ETL

Senior Quality Engineer - Data

Data and Visualisation Senior Engineer

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