Thomson Reuters

SoftwareEngineer,DataPlatform

₹18–28L ~AI est. Bengaluru, Karnataka, India FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Software Engineer, Data Platform at Thomson Reuters. Skills: Data Platform Engineering, Cloud Infrastructure, AI Integration, Data Pipelines. Design scalable data processing applications. Develop scalable data processing applications”

Industry & Context.

Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

3+ years relevant experience, Data lake implementation, Data management implementation, Python programming language, SQL querying languages, AWS services experience, AI/ML concepts familiarity, AI-assisted development tools experience, Git-based version control, CI/CD automation, Release management

Nice to Have

Snowflake experience, Data quality experience, Data governance experience, PowerBI proficiency, PowerApp proficiency, Data Governance tools proficiency, Serverless AWS services, Container AWS services, Queueing AWS services, Monitoring AWS services, GitHub Copilot proficiency, Terraform proficiency

What You'll Do.

Design scalable data processing applications

Develop scalable data processing applications

Design data processing frameworks

Develop data processing frameworks

Utilize AI-powered tools

Build AI-enabled solutions

Support data ingestion

Support data consumption

Support insight generation

Propose new approaches

Address data management needs

Recommend platform adoption

Recommend technology integrations

Recommend application servers

Recommend AWS frameworks

Recommend documentation

Recommend stakeholder usability

Participate in code reviews

Ensure high code quality

Ensure maintainability

Ensure adherence to best practices

Communicate effectively

Partner with data platform teams

Partner with data management teams

Ensure successful delivery

Stay current with trends

Stay current with advancements

How You'll Work.

Team & Collaboration

Collaborating with Data Analysts; Collaborating with Architects; Collaborate with cross-functional teams; Partner with data platform teams; Partner with data management teams

Communication Scope

Communicate effectively

Process & Methodology

Agile development cadence

Full Job 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, Conta

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