Azure Senior Data Technical Specialist
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Location
In office
Seniority
Senior
Confirmed on the employer's own hiring board on Oct 3, 2026. First seen by Alion on Sep 25, 2026.
Overview
Company
Impact
Profile match
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
Job Title: Senior Databricks Engineer (E3.2 Band)
About HCLTech
HCLTech is a global technology company delivering industry-leading digital, engineering, and cloud solutions. With a strong focus on innovation and customer success, HCLTech enables enterprises to transform through scalable, data-driven platforms.
Role Overview
As a Senior Databricks Engineer (E3.2), you will take end-to-end ownership of designing and delivering advanced data engineering solutions on Azure. You will play a key role in architecting scalable data pipelines, leading technical discussions, and driving best practices across projects while working closely with business stakeholders and cross-functional teams.
Key Responsibilities
Key Responsibilities
- Lead the design and implementation of enterprise-grade data solutions using Azure Databricks
- Architect and optimize end-to-end data pipelines leveraging ADF, Databricks, and Synapse
- Drive data ingestion, transformation, and integration strategies across multiple data sources
- Provide technical leadership and guidance to junior engineers and project teams
- Engage with stakeholders to understand business needs and translate them into scalable solutions
- Optimize performance, cost, and reliability of Azure data platforms
- Implement CI/CD pipelines and governance using Azure DevOps
- Ensure adherence to data quality, security, and compliance standards
- Contribute to solution architecture, design reviews, and technical decision-making
Skill Requirements
Mandatory Skills
- Strong expertise in Azure Data Engineering ecosystem:
- Azure Databricks (advanced implementation & optimization)
- Azure Data Factory (complex pipeline orchestration)
- Azure Synapse Analytics
- Azure Storage / Data Lake (ADLS Gen2)
- Azure DevOps (CI/CD pipelines)
- Deep understanding of ETL/ELT frameworks and data modeling concepts
- Advanced proficiency in SQL and relational databases
- Strong experience in performance tuning and large-scale data processing
- Hands-on experience with Python and Spark (PySpark preferred)
- Experience in solution design and architecture discussions
Preferred Skills
- Experience working in client-facing or consulting roles
- Exposure to data governance, security, and compliance frameworks
- Knowledge of real-time/streaming data processing (Kafka/Event Hub)
- Familiarity with Agile / Scrum methodologies
- Certification in Azure Data Engineering or Databricks is a plus
Educational Qualification
- Bachelor’s degree in Computer Science / IT / related field
Other Requirements
Skill Evaluation Matrix (E3.2 Expectations)
- Databricks, ADF, Synapse, ETL, SQL → Advanced expertise (Rating: 4+)
- DevOps & Storage → Strong working knowledge (Rating: 3+)
- Python & Spark → Hands-on implementation (Rating: 3+)
- Client handling & architecture → Ownership-driven capability
1.Relevant certifications in Azure Data Factory (ADF), Azure Databricks, SQL, Python are a plus.
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