ISS STOXX
Financial Market
DataQualityEngineer(Python&SQL)
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Quality Engineer (Python & SQL) at ISS STOXX. Skills: Python, SQL, Data Quality Engineering, Data Testing Frameworks. Design and build robust data-testing frameworks using Python and SQL. Perform deep-dive backend data profiling and automated API validation (XML, JSON, GraphQL) to ensure integrity across complex ESG and market data solutions”
What You'll Achieve.
Ensure accuracy and integrity of complex ESG, Corporate Governance & Solutions, and Market Intelligence data solutions; Drive defect resolution; Ensure seamless product releases
Industry & Context.
Acumen to transform raw datasets into actionable QA insights by identifying patterns, trends, and clusters; Proactively solve data quality and validation challenges
What They're Looking For.
Must Have
4 to 6 years of proven experience in a data-driven QA, Data Quality, or Data Analyst role, Strong, hands-on expertise in Python (specifically data wrangling and analytical programming) and SQL, Exceptional attention to detail, Communication abilities to collaborate with global stakeholders, Proactive, self-starter attitude
Nice to Have
Familiarity with Finance, Corporate Governance, or ESG (Environmental, Social, and Governance) data is a significant advantage, 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, Utilize tools like GitHub Copilot/Copilot CLI, n8n, LangChain to accelerate code generation, framework migration, and intelligent QA automation, Explore advanced libraries (e.g., Great Expectations, Sweetviz, Pandera) for automated data profiling, Leverage platforms like KNIME for efficient analytics, On need basis, engage with cloud infrastructure (AWS, Azure, GCP) as project allocations dictate
What You'll Do.
Design and build robust data-testing frameworks using Python and SQL
Perform deep-dive backend data profiling and automated API validation (XML
GraphQL) to ensure integrity across complex ESG and market data solutions
Build and manage scalable testing environments using Docker and Kubernetes
Develop internal tool UIs (e.g.
Streamlit) to enhance framework usability and streamline testing pipelines
Translate quality findings into actionable insights using visualization tools like Power BI to drive defect resolution
Partner closely with Development and Business teams to define testing roadmaps
and ensure seamless product releases
Leverage modern technology to work smarter and enhance testing capabilities
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
Utilize tools like GitHub Copilot/Copilot CLI
LangChain to accelerate code generation
and intelligent QA automation
Explore advanced libraries (e.g.
Pandera) for automated data profiling
Leverage platforms like KNIME for efficient analytics
Engage with cloud infrastructure (AWS
GCP) as project allocations dictate
How You'll Work.
Team & Collaboration
Partner closely with Development and Business teams to define testing roadmaps, assess risk, and ensure seamless product releases; Communication abilities to collaborate with global stakeholders
Communication Scope
Communication abilities to collaborate with global stakeholders
Full Job Description
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 (sp
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