Summary from listing
The role is a hands-on data-engineering position focused on Spark, SQL, Hive, Oozie, Power BI, Databricks, Azure Event Hub, AWS Kinesis, Azure Databricks, CI/CD, PowerShell, and streaming-data re-consolidation. Responsibilities include building and optimizing Spark jobs, setting up Databricks clusters, developing code to push events to AWS Kinesis, and supporting data analysis and Agile delivery. The posting requires 4–6 years of experience and specifies Australia Time Zone shifts of 2:00 am IST to 7:00 pm IST or 7:00 pm IST to 3:00 am IST.
