Software Engineer, Data Platform

The Core AI BI & Data Platforms Team has been established to create, operate and run the Enterprise AI, BI and Data that facilitate the time to market for reporting, analytics and data science teams to run experiments, train models and generate insights as well as evolve and run the CoCounsel application and its shared capability of CoCounsel AI Assistant.

The Enterprise Data Platform aims to provide self service capabilities for fast and secure ingestion and consumption of data across Thomson Reuters.

At Thomson Reuters, we are recruiting a team of motivated Cloud professionals to transform how we build, manage and leverage our data assets. The Data Platform team in Bangalore is seeking an experienced Senior Software Engineer with a passion for engineering cloud-based data platform systems.

Join our dynamic team as a Senior Software Engineer and take a pivotal role in shaping the future of our Enterprise Data Platform. You will design and implement data processing applications and frameworks on cloud-based infrastructure, ensuring the efficiency, scalability, and reliability of our systems.

About the Role

In this opportunity as the Software Engineer, you will:

• Develop data processing applications and frameworks on cloud-based infrastructure in partnership with Data Analysts and Architects with guidance from Lead Software Engineer.
• Innovate with new approaches to meet data management requirements. Make recommendations about platform adoption, including technology integrations, application servers, libraries, and AWS frameworks, documentation, and usability by stakeholders.
• Contribute to improving the customer experience.
• Participate in code reviews to maintain a high-quality codebase
• Collaborate with cross-functional teams to define, design, and ship new features
• Work closely with product owners, designers, and other developers to understand requirements and deliver solutions.
• Effectively communicate and liaise across the data platform & management teams
• Stay updated on emerging trends and technologies in cloud computing

About You

• Bachelors 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.

• 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.
• 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
• Solid understanding in Software development practices such as version control via Git, CI/CD and Release management
• Agile development cadence
• Fluency in querying languages such as SQL
• Snowflake cloud data platform
• Business Intelligence tools like PowerBI
• Good critical thinking, communication, documentation, troubleshooting and collaborative skills.

What s in it For You?