<p><p><b>Job Description</b> : Lead Azure Data Engineer<br/><br/><b>Location</b> : Gurgaon (Work from Office 5 days a week)<br/><br/><b>Experience Required</b> : 8+ years<br/><br/><b>About the Role : </b></p><p><br/></p><p>We are seeking a highly skilled and experienced Lead Azure Engineer to join our team in Gurgaon.
The ideal candidate will have a strong background in Azure Data Engineering, Databricks, PySpark, and SQL, combined with proven leadership skills in managing high-performing teams.
This role demands a hands-on technologist who can drive project delivery, mentor team members, and ensure best practices in data engineering.<br/><br/><b>Key Responsibilities : </b></p><p><br/></p><p>- Lead and manage a team of 5+ data engineers in delivering end-to-end Azure-based data engineering solutions.<br/><br/></p><p>- Design, develop, and implement scalable data pipelines and frameworks using Azure Data Engineering services.<br/><br/></p><p>- Work extensively on Databricks for building and optimizing big data solutions.<br/><br/></p><p>- Develop and optimize data transformation processes using PySpark.<br/><br/></p><p>- Write and optimize complex SQL queries for large datasets.<br/><br/></p><p>- Collaborate with cross-functional teams including data architects, business analysts, and </p><p>stakeholders to deliver business-driven data solutions.<br/><br/></p><p>- Establish coding standards, best practices, and review processes to ensure high-quality delivery.<br/><br/></p><p>- Provide technical leadership, mentoring, and guidance to team members.<br/><br/></p><p>- Troubleshoot performance issues and optimize data processing pipelines.<br/><br/></p><p>- Ensure timely delivery of projects while managing resources and risks effectively.<br/><br/><p><b>Must-Have Skills : </b></p><p><br/></p><p>- 8+ years of overall experience in data engineering.</p><p><br/></p>- 3+ years of hands-on experience in Azure Data Engineering development projects.<br/><br/></p><p>- 2+ years of proven experience with Databricks development.<br/><br/></p><p>- 2+ years of strong programming experience in PySpark.<br/><br/></p><p>- 2+ years of expertise in SQL development and optimization.<br/><br/></p><p>- Proficient in writing, analyzing, and tuning SQL queries.<br/><br/></p><p>- 2+ years of experience leading and managing a team of 5 or more members in data </p><p>engineering delivery.<br/><br/></p><p>- Excellent verbal and written communication skills with the ability to interact effectively with </p><p>stakeholders at all levels.<br/><br/><p><b>Good-to-Have Skills : </b></p><p><br/></p><p>- Knowledge of Azure Synapse Analytics.</p><p><br/></p>- Experience with visualization tools such as Tableau or Power BI.<br/><br/></p><p>- Exposure to performance optimization and advanced analytics.<br/><br/><p><b>Why Join Us </b><b>?</b></p><p><b><br/></b></p>- Opportunity to lead impactful projects in the Azure Data ecosystem.<br/><br/></p><p>- Collaborative and fast-paced work environment.<br/><br/></p><p>- Exposure to modern data engineering tools and practices.<br/><br/></p><p>- Career growth through leadership and technical innovation.</p><br/></p> (ref:hirist.tech)