Description

Key Skills: Azure Databricks, Data Engineering

Roles and Responsibilities:

• Provide client advisory on key engineering & architectural decisions across the full life cycle of big data engineering projects like Data Lake / Lakehouse implementation, DWH Modernization, Data Fabric implementation etc.
• Work with strategic clients to help define their data engineering roadmaps.
• Identify new ways of leveraging technology to solve client engineering problems.
• Track latest tech innovations and build relevant PoVs & PoCs to further our capabilities.
• Identify opportunities for Tiger to build IP. Lead the development efforts.
• Lead capability building initiatives as part of our Innovation Lab and L&D Academy.
• Participate in organization building, hiring, partnerships, conferences etc.

Skills Required:

• 16+ years of data engineering experience with 5+ years in the Big Data and Azure ecosystem.
• Experience of leading & mentoring multiple high-performing data engineering teams.
• Good experience of working on proposals, defining solutions, roadmaps & plan, doing estimation etc.
• Strong experience of working with the following technologies:
  • Azure ecosystem: Azure Databricks, Data Factory, Microsoft Fabric, Event Hub, Streaming Analytics, Cosmos DB, Unity Catalog and Purview.
  • Must have: Strong Experience of working on Databricks ecosystem (PySpark, Notebooks, Unity Catalog, DLT, Workflows, SQL Warehouse etc.).
  • Hadoop Ecosystem: Hadoop, Spark, Kafka, Hive, NoSQL - HBase / MongoDB / Cassandra, Impala, Sqoop etc.
  • Programming experience either in Python or Scala/Java.
  • CI/CD with Git, Jenkins / Azure DevOps.
  • Exposure to NoSQL Database and Data Modelling.
  • Good exposure to some of the emerging technologies like Gen AI, LLM etc.
• Experience with:
  • Data lake / Lakehouse / data fabric / data mesh design and implementation.
  • Designing/building large cloud-based Data Platform solutions (on Azure).
  • Experience of building solutions to support BI and Data Science teams in consuming the data in a secure and governed manner.

Education: B.Tech/B.E from reputed institute preferred

Key Skills

Education

Any Graduate