Hyderabad, Telangana

Job Summary

Job Title: Data Engineer Department: Global Analytics Reports to: Manager AI Engineering Level: Senior / Medior (depending on experience) Role Summary The Data Engineer is responsible for designing, building, and operating high-quality, scalable, and reusable data services that support analytics, AI, and GenAI use cases across business domains. In this role, you will design and work hands-on with data pipelines, data models, orchestration frameworks, storage layers, and observability tooling. You will collaborate closely with AI Engineers, Data Scientists, Product Owners, and Platform teams to deliver reliable, well-governed, and self-service data products.

Key Responsibilities

Skill Requirements

Preferred Qualifications - 5+ years of experience in data engineering and building production-grade data pipelines. - Solid hands-on experience with data platforms such as Databricks. - Solid knowledge of data modeling, SQL, Spark, and Python. - Experience with orchestration frameworks, data quality tooling,



and observability practices. - Exposure to unstructured data processing and AI/GenAI data pipelines is a strong plus. - Experience working in a global, multi-team environment is beneficial.

Other Requirements

Success in This Role Means - Reliable, well-documented data products are available for analytics and AI use cases. - Data pipelines are scalable, cost-e icient, observable, and easy to operate. - Data engineers and AI teams can move faster using reusable patterns and self service data services. - Structured and unstructured data are e ectively integrated to support advanced analytics and GenAI innovation.
body.unify div.unify-button-container.unify-apply-now: focus, #body.unify div.unify-button-container.unify-apply-#body.unify div.unify-button-container.unify-apply-now: focus, #body.unify div.unify-button-container.unify-apply

📌 Senior Track Lead (Hyderabad)
🏢 HCLTech
📍 Hyderabad