Data Quality Engineer (Python & SQL)

Data Quality Engineer (Python & SQL)

Let’s be #BrilliantTogether

ISS STOXX (part of the Deutsche Börse Group) is actively hiring for Data Quality Engineer to join our QBIT Team (Quality Assurance Benchmarking and Independent Testing) in Mumbai (Goregaon East), India.

Overview:

This is a techno-functional, data-oriented testing role. You will act as the ultimate gatekeeper for data quality by independently verifying the accuracy and integrity of complex ESG, Corporate Governance & Solutions, and Market Intelligence data solutions. If you enjoy "breaking things to make them better" and building robust test frameworks using Python and SQL, this role is for you.  You will blend financial domain knowledge with advanced data testing techniques, taking ownership of automated verification, deployment support, and the continuous modernization of our QA infrastructure.

Responsibilities:

• Test Framework Engineering: Design and build robust data-testing frameworks using Python and SQL. 

• Data Quality & API Validation: Perform deep-dive backend data profiling and automated API validation (XML, JSON, GraphQL) to ensure integrity across complex ESG and market data solutions. 

• Infrastructure & Automation: Build and manage scalable testing environments using Docker and Kubernetes (as required by project needs). Develop internal tool UIs (e.g., Streamlit) to enhance framework usability and streamline testing pipelines. 

• Analytics & Reporting: Translate quality findings into actionable insights using visualization tools like Power BI to drive defect resolution. 

• Strategic Collaboration: Partner closely with Development and Business teams to define testing roadmaps, assess risk, and ensure seamless product releases. 
  

Qualification:

• Education: Bachelor’s or Master’s degree in Engineering, Information Science, Computer Science, or a related field. 

• Experience: 4 to 6 years of proven experience in a data-driven QA, Data Quality, or Data Analyst role. 

• Technical Core: Strong, hands-on expertise in Python (specifically data wrangling and analytical programming) and SQL. 

• Domain Knowledge: Familiarity with Finance, Corporate Governance, or ESG (Environmental, Social, and Governance) data is a significant advantage. 

• Analytical Mindset: Exceptional attention to detail. You must possess the acumen to transform raw datasets into actionable QA insights by identifying patterns, trends, and clusters. 

• Communication & Autonomy: Strong communication abilities to collaborate with global stakeholders, coupled with a proactive, self-starter attitude to thrive in a fast-paced and evolving technical landscape. 

Good to Have:

• Innovation & Applied AI (The "Good to Have" Edge) We encourage our engineers to leverage modern technology to work smarter and enhance our testing capabilities. 

• Applied AI for QA: Leverage internally hosted LLMs and approved open-source AI tools to proactively solve data quality and validation challenges, automate code reviews, and enhance test coverage - all while maintaining strict data security. 

• Agentic Workflows: Utilize tools like GitHub Copilot/Copilot CLI, n8n, LangChain to accelerate code generation, framework migration, and intelligent QA automation. 

• Low-Code/No-Code Analytics: Explore advanced libraries (e.g., Great Expectations, Sweetviz, Pandera) for automated data profiling, and leverage platforms like KNIME for efficient analytics. 

• Cloud & MLOps Readiness: On need basis, engage with cloud infrastructure (AWS, Azure, GCP) as project allocations dictate, contributing to the team's broader technical upskilling and continuous integration goals.
  

#MIDSENIOR

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What You Can Expect from Us

At ISS STOXX, our people are our driving force. We are committed to building a culture that values diverse skills, perspectives, and experiences. We hire the best talent in our industry and empower them with the resources, support, and opportunities to grow—professionally and personally.

 

Together, we foster an environment that fuels creativity, drives innovation, and shapes our future success.

 

Let’s empower, collaborate, and inspire.

 

Let’s be #BrilliantTogether.

About ISS STOXX

ISS STOXX GmbH is a leading provider of research and technology solutions for the financial market. Established in 1985, we offer top-notch benchmark and custom indices globally, helping clients identify investment opportunities and manage portfolio risks. Our services cover corporate governance, sustainability, cyber risk, and fund intelligence. Majority-owned by Deutsche Börse Group, ISS STOXX has over 3,400 professionals in 33 locations worldwide, serving around 6,400 clients, including institutional investors and companies focused on ESG, cyber, and governance risk. Clients trust our expertise to make informed decisions for their stakeholders' benefit. 

Visit our website: https://www.issgovernance.com       

View additional open roles: https://www.issgovernance.com/join-the-iss-team/      

Institutional Shareholder Services (“ISS”) is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. It is our policy to prohibit discrimination or harassment against any applicant or employee on the basis of race, color, ethnicity, creed, religion, sex, age, height, weight, citizenship status, national origin, social origin, sexual orientation, gender identity or gender expression, pregnancy status, marital status, familial status, mental or physical disability, veteran status, military service or status, genetic information, or any other characteristic protected by law (referred to as “protected status”).  All activities including, but not limited to, recruiting and hiring, recruitment advertising, promotions, performance appraisals, training, job assignments, compensation, demotions, transfers, terminations (including layoffs), benefits, and other terms, conditions, and privileges of employment, are and will be administered on a non-discriminatory basis, consistent with all applicable federal, state, and local requirements. 

Experience Level

Senior Level