Azure Senior Data Engineer

HCLTech · Cybersecurity · Professional Services · Bachelor's Degree · Python · SQL · ETL/ELT · SSIS · Azure Data Factory · SSAS · 1 day ago
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Salary
≈ $18k – $38k per year (Estimated)
Location
In office (Chennai)
Seniority
Senior

Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Oct 29, 2026.

Overview
Company
Impact
Profile match

HCLTech

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.
hcltech.com · HQ: Noida, India · Science & Engineering · Professional Services · Cybersecurity · Systems Integrators · IT Consulting & Digital Transformation · IT Outsourcing & Dedicated Teams · 5000+ employees · Est. 1976
Tech stack of HCLTech

Job Summary

We are seeking a skilled Databricks Engineer to design, develop, and optimize data solutions on the Microsoft Azure platform. This role is critical in enabling data-driven decision-making by building scalable data pipelines, integrating diverse data sources, and delivering high-quality analytics solutions aligned with business objectives.

Key Responsibilities

  • Design and develop scalable data solutions using Azure Databricks and the Azure ecosystem
  • Build and manage Azure Data Factory (ADF) pipelines for efficient data ingestion and transformation
  • Integrate structured and unstructured data from multiple sources into Azure Data Lake / Analytics platforms
  • Develop ETL processes to support analytics and reporting requirements
  • Collaborate with cross-functional teams to deliver high-quality data solutions
  • Translate business requirements into technical designs and implement scalable architecture
  • Ensure performance optimization, data quality, and reliability across data pipelines
  • Support deployment and version control using Azure DevOps

Skill Requirements

Mandatory Skills

  • Strong expertise in Microsoft Azure Stack (T-SQL, SSIS, SSAS, SSRS)
  • Hands-on experience with:
    • Azure Data Factory (ADF)
    • Azure Databricks
    • Azure Synapse Analytics
    • Azure DevOps
    • Azure Storage / Data Lake
  • Solid understanding of ETL processes and data integration
  • Proficiency in SQL and relational databases
  • Strong analytical and problem-solving skills

Preferred Skills (Good to Have)

  • Experience with Python scripting and Spark APIs
  • Exposure to client-facing roles and stakeholder interactions
  • Familiarity with Agile / Scrum methodologies

Educational Qualification

  • Bachelor’s degree in Computer Science / Information Technology / related field

Other Requirements

Skill Evaluation Matrix (Snapshot)

  • Azure Stack, ADF, Databricks, Synapse, ETL, SQL - Core strengths required
  • DevOps, Storage/Data Lake - Supporting capabilities
  • Python/Spark, Client Engagement, Agile - Added advantage

1.Azure Data Engineer Associate or Microsoft Certified1.Azure Data & AI Associate certification is a plus.

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