Minimum qualifications:
- Bachelor's degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience.
- 3 years of experience working with data infrastructure and data models by writing exploratory queries and scripts.
- 3 years of experience in data engineering, database querying (e.g., SQL), and developing data pipelines (Extract, Transform, and Load (ETL) with Python).
- Experience with database administration techniques or data engineering, as well as writing software in Java, C++, Python, Go, or JavaScript.

Preferred qualifications:
- Master's degree in Computer Science, Engineering, Mathematics, or a related technical field
- Experience troubleshooting live, high-traffic data pipelines during critical ETL operations.
- Experience developing applications used within law firms, in-house legal/compliance departments, government, or related industry experience.
- Experience using AI technologies to augment, improve, or automate the development process.




- Experience connecting agents to enterprise knowledge bases and enhancing Retrieval-Augmented Generation (RAG).
- Ability to be flexible/adaptable in exercising judgment in a dynamic environment and to prioritize and manage tasks efficiently.

About the job
As a Data Engineer within the Business Intelligence Group, you will partner with data science, analyst, and engineering teams to build and scale durable data products that enable a more data-driven/predictive Global Affairs (GA) organization. Translating complex business requirements into technical solutions, you will architect cutting-edge data pipelines and infrastructure that accommodate complex ETL, volume, and latency constraints. With Generative AI (GenAI) poised to make a significant impact in GA, your goal is to leverage Google's tools and ML/AI ecosystems to move and translate data used for critical, cross-global affairs strategic decisions. In this fast-paced environment, you will independently execute

📌 Data Engineer, Global Affairs (Hyderabad)
🏢 Google
📍 Hyderabad