Cloud Data Engineer

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, High Tech, Semiconductor, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending March 2025 totaled $13.8 billion.

Preferred Skills and Qualifications

• Experience with real-time data streaming and processing using Apache Kafka and Azure Event Hubs for handling high-volume data flows.
• Hands-on experience with data analytics and reporting solutions, specifically using Microsoft Power BI.
• Experience architecting data pipelines with Azure Synapse Analytics, Azure Data Factory (ADF), and Microsoft Fabric for cloud-based data engineering.
• Advanced skills in Microsoft SQL Server technologies, including Master Data Services, SSIS, SSAS, and SSRS.
• Expertise real-time data processing architectures using Apache Kafka and Azure Event Hubs for streaming analytics and event-driven systems.
• Proven ability to develop secure data tools and automated workflows for analytics and data science teams, with a strong knowledge of data security and GDPR compliance for managing sensitive corporate information.
• Proactive in learning and applying the latest data engineering technologies and best practices.
• Working familiarity with ML/AI and GenAI frameworks (LangChain, LangGraph, OpenAI SDK, Microsoft Agent Framework) to prototype intelligent data-driven features and solutions.
• Experience in Insurance, Banking, Finance, and E-commerce domains.

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