Azure Senior Data Engineer

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., * 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

Microsoft Windows Azure, Scalable System Development, Data Management, Microsoft Windows Azure, Ecosystems, Manufacturing Management, Unstructured Data, Data Lake, Data Analysis, Structured Data, 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.

Information at a Glance

Why HCLTech?

At HCLTech, youll supercharge your potential. Youll find your career. And youll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 230,000 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, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2026 totaled $14.8 billion.