Senior Technical Lead

We are seeking an experienced Azure Big Data Engineer to design, develop, and optimize large-scale data solutions on the Microsoft Azure platform. The ideal candidate should have strong hands-on experience in Azure Synapse, Spark/PySpark, Scala, SQL, Scope, Cosmos, and ADLS, with exposure to Microsoft Fabric and Kusto technologies., Design and develop scalable Big Data solutions using Azure Synapse Analytics.Build and optimize distributed data processing pipelines using Spark/PySpark and Scala.Develop complex SQL and Scope scripts for large-scale data transformation and analytics.Work with Cosmos and ADLS to manage enterprise-scale structured and unstructured datasets.Implement ETL/ELT pipelines, data validation, monitoring, and performance tuning.Collaborate with architects, product teams, and business stakeholders to deliver data-driven solutions.Leverage Kusto and Microsoft Fabric for advanced analytics and reporting requirements.

• Strong experience in Azure Data Engineering and Big Data ecosystem.
• Hands-on expertise in Synapse, Spark/PySpark, Scala, SQL, Scope, Cosmos, and ADLS.
• Experience with data modeling, ETL frameworks, and performance optimization.
• Familiarity with Azure DevOps, CI/CD, and Agile delivery methodologies.
• Good analytical, troubleshooting, and communication skills.

Preferred

• Microsoft Fabric / OneLake experience.
• Kusto (KQL) development experience.
• Azure Data Engineer certification (DP-203) preferred.

Must Have Skill

Azure Data Lake,Azure Synapse Analytics,Microsoft SQL Server,PySpark,Scala