Data Engineer
Thomson Reuters Greater Hyderabad Area
Job Description
"Unlock the full potential of data-driven insights at Thomson Reuters as a Data Engineer, where you'll spearhead the development of cutting-edge AI-powered solutions and drive business growth through data-informed strategies."
In this high-impact role, you'll be responsible for designing, developing, and maintaining complex data pipelines, ETL workflows, and data models using AI platforms, dbt, Snowflake, Power BI, Tableau, Excel, and PowerPoint.
You'll collaborate with stakeholders to identify reporting needs, deliver actionable insights, and drive strategic decision-making through data analysis and visualization.
Why you should learn this:
As a Data Engineer at Thomson Reuters, you'll be in high demand, with a median salary range of $140,000 - $180,000 per year in the United States.
Expected Salary: According to Indeed, the average salary for a Data Engineer in the United States is $155,000 per year, with a range of $120,000 - $200,000 per year.
How it works:
- Step 1: Design and develop complex data pipelines, ETL workflows, and data models using AI platforms, dbt, Snowflake, Power BI, Tableau, Excel, and PowerPoint.
- Step 2: Collaborate with stakeholders to identify reporting needs, deliver actionable insights, and drive strategic decision-making through data analysis and visualization.
Core Concepts to Master
AI Platform Architecture
Design and develop scalable AI platform architectures using dbt, Snowflake, Power BI, Tableau, Excel, and PowerPoint to support complex reporting needs and drive business growth.
Machine Learning Techniques
Implement AI and machine learning techniques to innovate solutions, provide predictive analytics, and drive data-informed strategies using LLMs, RAGs, and other enterprise AI platforms.
Data Modeling and Pipelining
Develop and build scalable data pipelines, ETL workflows, and data models using AI platforms, dbt, Snowflake, Power BI, Tableau, Excel, and PowerPoint to support complex reporting needs and drive business growth.
Data Visualization and Storytelling
Collaborate with stakeholders to deliver high-impact, actionable insights through data analysis and visualization using Power BI, Tableau, Excel, and PowerPoint.
Interview Questions (Beginner)
- Can you explain the concept of AI platform architecture and how it applies to data engineering?
- How do you design and develop scalable data pipelines, ETL workflows, and data models?
- What are some common machine learning techniques used in data engineering, and how do you apply them?
Job Overview
Advance Questions
- • Can you describe a time when you had to implement AI and machine learning techniques to innovate solutions and drive data-informed strategies?
- • How do you collaborate with stakeholders to deliver high-impact, actionable insights through data analysis and visualization?
- • Can you walk me through a complex data pipeline, ETL workflow, or data model you've developed, and how you optimized it for performance?