10+ years of IT experience and at least 5+ years in cloud native data engineering solution delivery.
Strong hands-on expertise in building Data engineering solutions using Apache Spark and Scala.
Should be able to demonstrate expertise in designing and building efficient and scalable data engineering solutions using Massively Parallel Processing(MPP) architecture.
Strong hands-on experience in Performance tuning and optimization of Spark program.
Experience in Azure PaaS data services such as ADLS, ADF, Azure BloB, Synapse, Cosmos, Azure functions etc.
Data bricks experience will be a great add-on.
Familiar with DevOps principles and experience in CD/CI implementations using Azure native services.
Should be able to lead, train, mentor and guide a technical team size of 8-10 members.