Lead Data Engineer (Azure, Databricks architecture, 8+yrs)

Location – Pune / HYD JD: In this role, you will: • Drive end to end integration delivery through analysis, design, build and deployment. • Manage requirement gathering and analysis necessary for integration build. • Develop new and enhanced integrations following appropriate HRIT and HR delivery lifecycle. • Develop and maintain integration patterns and blueprints in accordance with HRIT and HR standards. • Document integration specifications and patterns in accordance with HRIT and HR standards. • Assist with test scenario preparation and guidance for HRIT and HR test teams. • Support and troubleshoot integrations through deployment test phase pipelines. • Provide HRIT integration SME production support for integration troubleshooting and analysis. • Manage and support Integration platform architecture, infrastructure, and environments. • Own and assist with solution implementation. To be successful in this role, you should meet the following requirements: • Successful track record of delivery in a project-based environment both when working independently and when working collaboratively within a larger development team • Strong technical documentation capabilities • Excellent interpersonal and communication (both oral and written) skills • Ability to demonstrate creative and lateral thinking, the ability to question existing practice and inspire others to do the same. • Demonstrated expertise in designing, implementing, and supporting enterprise-grade technical solutions. • Strong Analytical and Problem-Solving skills • In-depth knowledge of Databricks architecture, Spark, and Delta Lake. • Proficiency in managing and optimizing Databricks clusters and jobs. • Experience with deploying and managing Databricks on Azure, including integration with Azure Data Lake, Azure SQL Database, and other Azure services. • Strong programming skills in languages such as Python, SQL, and Scala. • Familiarity with data warehousing concepts and ETL processes. • Strong understanding of Azure infrastructure and services, such as Azure Virtual Machines, Azure Storage, and Azure Networking. • Azure Database and data platform • DevOps Tooling: Jenkins, Nexus, GitHub, JIRA • Database Services, including Azure SQL and Cosmos DB • Monitoring, Diagnostics, and Analytics with Azure Monitor • NoSQL Database Experience such as MongoDB • Azure, MongoDB, SPLUNK, Java, Spring boot, Kong, Databricks

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