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Senior Software Engineer About the Role We are looking for a Senior Software Engineer to drive the design, development, and scaling of our centralized, API-driven data validation platform. This is a hands-on individual contributor role focused on building high-performance, scalable, and intelligent validation systems that process large datasets with speed and accuracy. You will work across backend systems, validation engines, APIs, and data processing pipelines, with opportunities to contribute to AI-driven capabilities such as anomaly detection, rule automation & LLM based capabilities. Key Skills: 5 to 8 years of experience into Python Strong proficiency in Python(data manipulation libraries like Pandas, NumPy) with writing clean, maintainable, and testable code. Design and develop scalable backend services for data validation. Implement high-throughput data processing pipelines. Integrate CheckMate with enterprise data systems and pipelines. Enable real-time and batch validation capabilities Design and implement - Field-level validations, Cross-field and relational rules & Schema and data integrity checks. Knowledge of parallel processing and asynchronous execution. Knowledge of caching, indexing and efficient data structures. Strong knowledge of API integration, and data extraction from both structured and unstructured sources Knowledge of distributed computing and data engineering techniques for scalable data processing Maintain auditability and traceability in validation workflows. Collaborate with Sustainalytics Data Services Digital, Client Services, Business Analysts, Data Engineers teams to deliver timely and accurate outputs. Good to have exposure to LLM. Good to have knowledge of anomaly detection using algorithms like Isolation Forest or similar. Good to have knowledge of SQL for querying and managing relational databases. Good to have Excel skills, including formulas, pivot tables, and automation techniques. Stay up-to-date with the latest developments in AI, and client facing technologies. Bachelors degree in Computer Engineering, Computer Science, or related field. Strong analytical and problem-solving skills with attention to detail. Ability to manage multiple priorities and deliver under tight deadlines. Preferred Skills Experience with data visualization tools (Power BI, Tableau). Familiarity with version control (Git) and workflow automation. Knowledge of financial data and reporting standards is a plus. 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 Experience Level Senior Level .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.