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Confirmed on the employer's own hiring board on Oct 8, 2026. First seen by Alion on Oct 7, 2026.

Overview
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HCLTech is a major Indian multinational information technology (IT) services and consulting company headquartered in Noida, Uttar Pradesh. Spun off from the original HCL Group in 1991, it ranks as one of India's largest technology companies alongside firms like TCS, Infosys, and Wipro.

Job Summary

Senior Data Developer (L2) / Data Analytics Engineer

The Senior Data Developer (L2) / Data Analytics Engineer will be responsible for designing, developing, and maintaining scalable data integration solutions using Azure Data Factory (ADF) as the primary ETL/ELT platform. The role requires building robust and automated data pipelines to ingest data from multiple sources, including APIs, relational databases, cloud storage, and flat files. The candidate will transform, cleanse, and load data into curated and consumption-ready layers to support reporting, analytics, and business decision-making.

Key Responsibilities

The role involves implementing best practices for ETL/ELT development, data governance, and operational support within the Azure ecosystem. The candidate should have hands-on experience with Azure Data Services and integrating data through REST APIs and other enterprise interfaces. Basic knowledge of data modeling concepts, dimensional modeling, and data warehousing principles is required to support scalable analytics solutions. The ideal candidate should possess strong analytical and debugging skills, with the ability to resolve complex data issues and contribute to continuous improvement initiatives. Experience with Power BI for developing reports, dashboards, and data visualizations will be considered a strong advantage.

Skill Requirements

  • Azure Data Factory (ADF)
  • SQL Development and Query Optimization
  • Azure Data Services
  • ETL/ELT Pipeline Development
  • Data Ingestion and Integration
  • API Integration (REST/SOAP)
  • Data Validation and Troubleshooting
  • Basic Data Modeling Concepts

Other Requirements

Good-to-Have Skills

  • Power BI Development and Dashboarding
  • Azure Synapse Analytics
  • Data Warehousing Concepts
  • Performance Optimization Techniques
  • Agile/Scrum Methodologies
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