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

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

Innova ESItiruppur, tamil nadu, in
22 hours ago
Job description

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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