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The Data Engineer I work as part of an agile team supporting the organization's Research and Managed Services. This is a hands-on, hybrid, technical, and operational role. The team members will actively write and maintain code to build data tools, automations, and pipelines, while also performing day-to-day operational tasks that keep Research and Managed Services running reliably. The role includes identifying and evaluating internal and external data sources to feed AI-enabled and traditional research workflows. The team member will assess source relevance, quality, coverage,



accessibility, reliability, compliance considerations, and applicability to defined business and technical use cases. The role drives best-in-class standards and continuous improvement and requires an adaptable qualified who is willing and able to learn and adopt new technologies as they are introduced to the organization

Key Responsibilities:

Coding & Development
- Write, review, test, and maintain code, including SQL and Python, to build data tools, automations, and ingestion and transformation workflows that support Research and Managed Services
- Automate manual processes and develop data tools to improve efficiency, accuracy, quality, and throughput
- Develop and promote coding standards and contribute to code reviews within the agile team
- Build and maintain web-scraping solutions, API integrations, and reusable data-processing components
- Support scalable ETL/ELT pipelines

📌 Data Engineer I (Hyderabad)
🏢 Dun & Bradstreet
📍 Hyderabad