Thomson Reuters Job | Work From Office Job | Data Engineer Job | New Job Updates | Apply Soon!

Thomson Reuters Job | Work From Office Job | Data Engineer Job | New Job Updates

Job Summary

This company is hiring for the role of Data Engineer. In this role, you support the architecture, development, design, and maintenance of complex, interactive, and dynamic reports and dashboards using AI platforms, Snowflake, Power BI, Tableau, Excel, and PowerPoint.

Job Description

  • Company Name: Thomson Reuters
  • Job Type: Full Time
  • Post Name: Data Engineer
  • Qualification: Bachelor’s/Master’s Degree
  • Experienced: Entry Level
  • Location: Bangalore, India

Job Responsibilities

  • Implement AI and machine learning techniques to innovate solutions and provide predictive & prescriptive insights.
  • Develop & build scalable LLM/RAG based solutions, data pipelines, ETL workflows as well as optimize data models as well as continuously evaluate and adopt new tools and technologies.
  • Articulate complex findings and strategic recommendations to executive-level stakeholders through compelling presentations and comprehensive reports.
  • Conduct in-depth analysis of large, complex datasets to uncover critical trends, patterns, and anomalies that directly inform strategic business decisions.
  • Partner strategically with stakeholders to define complex reporting needs, deliver high-impact actionable insights, and drive data-informed strategies.

Job Requirements

  • Have intermediate-level skills in SQL for complex data extraction, manipulation, transformation, and query optimization.
  • Have extensive experience with building data pipelines, collaborating with data consumers and being proficient with data models.
  • Exhibit exceptional data analytical, critical thinking, and problem-solving skills, with a demonstrated ability to interpret complex data and translate it into strategic business insights.
  • Possess an understanding and practical experience with data warehousing concepts, ETL processes, data governance principles, and emerging AI technologies such as Large Language Models.

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