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# Senior Technical Lead

- **Company:** HCL America, Inc.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $78,000.0 - $148,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Microsoft Azure, Big Data, Continuous Integration, Data Validation, Extract Transform Load (ETL), Distributed Computing Environment, Microsoft SQL Server, Performance Tuning, Kusto Query Language, Azure Data Lake, Scala (Programming Language), SQL Databases, Azure Data Factory, Apache Spark, Microsoft Fabric, Pyspark, Data Analytics, Azure Synapse Analytics, Data Pipelines
- **Published:** October 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=90450f4020b92fdf

## About the Role

* 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

## Description

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.