Data Quality Engineer (Python & SQL)

Lets 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:Designandbuildrobustdata-testing frameworks usingPython and SQL.

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

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

• Analytics & Reporting:Translate quality findings into actionable insights using visualization tools likePower BIto drive defect resolution.

• Strategic Collaboration:PartnercloselywithDevelopmentand Businessteamsto define testing roadmapsassess risk andensureseamlessproduct releases.
  

Qualification:

• Education:Bachelors orMasters degree in Engineering Information Science Computer Science ora relatedfield.

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

• Technical Core:Strong hands-onexpertiseinPython(specifically data wrangling and analytical programming) andSQL.

• 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 mustpossessthe acumen to transform raw datasets into actionable QA insights byidentifyingpatterns trends and clusters.

• Communication & Autonomy:Strong communicationabilities 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 toleveragemodern technology to work smarter and enhance our testing capabilities.

• Applied AI for QA:Leverage internallyhosted LLMs and approved open-source AI tools to proactively solve dataquality andvalidation challenges automate code reviews and enhance test coverage-all whilemaintainingstrict data security.

• Agentic Workflows:Utilizetools likeGitHub Copilot/Copilot CLIn8nLangChainto accelerate code generation framework migration and intelligent QA automation.

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

• Cloud &MLOpsReadiness:Onneedbasis engage with cloud infrastructure (AWS Azure GCP) as project allocations dictate contributing to the teams broader technical upskilling and continuous integration goals.
  

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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 growprofessionally and personally.

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

Lets empower collaborate and inspire.

Lets 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 3400 professionals in 33 locations worldwide serving around 6400 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.

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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.