Azure Data Engineer

Role Overview Join HCLTech as an Azure Data Engineer and play a pivotal role in designing and optimizing Microsoft Azure solutions for dynamic client needs. You will leverage your expertise in Azure technologies to drive impactful data engineering projects that enhance data-driven decision-making and operational efficiency across diverse business units. This position offers the opportunity to work with cutting-edge cloud technologies while collaborating with skilled technical teams and clients. Key Responsibilities - Design and develop innovative Azure data solutions and implement features to support existing applications - Ingest and integrate data from various source systems into the Azure Analytics Platform using Azure Databricks and Azure Data Factory - Construct and optimize robust Azure Data Factory pipelines to facilitate efficient data ingestion and transformation processes - Collaborate with technical teams to provide design and coding support while ensuring project deliverables are met on schedule - Engage with clients to gather and interpret business requirements, translating them into actionable technical solutions Required Qualifications - 7 to 10 years of professional experience in data engineering and Azure technologies - Advanced technical proficiency with Microsoft Azure Stack including T-SQL, SSIS, SSAS, and SSRS - Hands-on expertise in Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Storage or Data Lake - Strong experience with ETL processes and proven analytical skills for report development - Bachelor's degree in Computer Science, Information Technology, or a related field Why Join Us HCLTech offers you the opportunity to work on transformative data engineering projects that impact business outcomes across multiple sectors. Be part of a dynamic organization that values innovation, technical excellence, and professional growth.

- 7-10 years of experience in Azure data engineering - Expertise in Azure Data Factory and Azure Databricks - Advanced SQL and T-SQL proficiency - Experience with Azure Synapse Analytics - Strong ETL process knowledge - Proficiency with relational databases - Azure DevOps experience - Bachelor's degree in Computer Science or related field - Python scripting experience preferred - Spark APIs knowledge desired - Client-facing project experience advantageous - Agile development methodology familiarity

- Opportunity to work with cutting-edge Azure technologies - Collaborative work environment with skilled technical teams - Client engagement and requirement gathering experience - Professional growth and career development - Work on impactful data-driven projects - Competitive salary package based on experience