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Location: Navi Mumbai Reports to: Tech Team Lead About the Role We are looking for a Senior Software Developer to join our Data Services team, specializing in delivering custom client-ready reports and managing data corrections. This role requires strong technical skills in Python, SQL, and Excel, combined with experience in AWS cloud services such as Athena and Aurora. You will play a key role in ensuring clients receive high-quality, tailored data outputs and that corrections are handled efficiently through automated tools and processes. Key Responsibilities - 5 to 8 years of experience into Python - Work on Client Platforms with Data Services Core team to Prepare custom Level 3 client reports based on specific requirements and data sets. Design, develop, and deploy AI agents capable of performing intelligent data and report functions Develop and maintain correction files and tools to manage data adjustments and ensure accuracy. Automate repetitive tasks using Python scripts and Excel macros where applicable. Perform data validation, quality checks, and ensure compliance with internal standards. - Query and manage data using AWS Athena and Aurora, ensuring scalability and performance. Collaborate with Sustainalytics Data Services Digital, Client Services, Business Analysts, Data Engineers teams to deliver timely and accurate outputs. Document processes and maintain transparent guidelines for report generation and correction workflows. Stay up-to-date with the latest developments in AI, and client facing technologies. Required Qualifications Bachelors degree in Computer Engineering, Computer Science, or related field. Strong proficiency in Python (data manipulation libraries like Pandas, NumPy). Robust knowledge of API integration, and data extraction from both structured and unstructured sources Advanced knowledge of SQL for querying and managing relational databases. Excellent Excel skills, including formulas, pivot tables, and automation techniques. Knowledge of distributed computing and data engineering techniques for scalable data processing Hands-on experience with AWS services (Athena, Aurora, S3). 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 .
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.