Software Engineer, Data Platform at Thomson Reuters

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

01 Aug, 26

Salary

0.0

Posted On

03 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Snowflake, Data engineering, Data lake, Data governance, AWS, Cloud computing, API development, CI/CD, Terraform, Git, AI/ML, PowerBI, Data pipelines, Agile

Industry

Software Development

Description

In this opportunity as a Software Engineer, you will: About the Role: Design and develop scalable data processing applications and frameworks on cloud infrastructure, collaborating closely with Data Analysts and Architects under the guidance of a Lead Software Engineer. Utilize AI‑powered tools to accelerate solution development and improve efficiency across the end‑to‑end project lifecycle. Build AI‑enabled solutions that support seamless data ingestion, consumption, and insight generation for business users. Drive innovation by proposing new approaches to address data management needs, including recommendations on platform adoption, technology integrations, application servers, libraries, AWS frameworks, documentation, and stakeholder usability. Participate in code reviews to ensure high code quality, maintainability, and adherence to engineering best practices. Collaborate with cross‑functional teams to define requirements, design solutions, and deliver new features. Communicate effectively and partner with data platform and data management teams to ensure alignment and successful delivery. Stay current with emerging trends and advancements in cloud computing, data platforms, and AI engineering. About You You're a fit for the role of Software Engineer, if you meet all or most of these criteria: Bachelor’s degree in computer science, Engineering, or a related field 3+ years of relevant experience in Implementation of data lake and data management of data technologies for large scale organizations. Data Engineer with Python, SQL, Snowflake, Data quality, Data governance Experience in building & maintaining data pipelines with excellent run-time characteristics such as low-latency, fault-tolerance and high availability. Proficient in Python programming language. Business Intelligence tools like PowerBI, PowerApp, Data Governance Experience in AWS services and management, including Serverless, Container, Queueing and Monitoring services like Lambda, ECS, API Gateway, RDS, Dynamo DB, Glue, S3, IAM, Step Functions, CloudWatch, SQS, SNS. Good knowledge in Consuming and building APIs Familiarity with AI/ML concepts, including integrating AI or GenAI capabilities into data platforms for data ingestion, consumption and governance. Hands‑on experience using AI‑assisted development tools or frameworks to improve developer productivity and solution efficiency (e.g., code generation, testing, or data analysis). Fluency in querying languages such as SQL Strong understanding of software development practices such as Git‑based version control, CI/CD automation, and release management leveraging GitHub Copilot and Terraform. Agile development cadence #LI-AD2 What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com. At Thomson Reuters, we’re not riding the AI wave — we’re reshaping the future of professional work across law, tax, compliance, and journalism. Here, you will collaborate with smart, ambitious people who thrive on solving complex problems, delivering market-leading solutions, and innovating with curiosity and care. Learn more about a career with us 📖 Our Employer Story 🔍 Inside Thomson Reuters Blog 🏆 Awards and Recognition 🤝 Our Values 🌱 Join Our Talent Community ✅ Protect Your Job Search Future-ready careers Our focus on a skills-first approach ensures you’ll have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.

Responsibilities

Design and develop scalable data processing applications and frameworks on cloud infrastructure while collaborating with cross-functional teams. Drive innovation by proposing new approaches to data management and integrating AI-powered tools to improve project efficiency.