Wipro
5 to 10 Year(s)
10+ years of overall IT experience 5+ years of hands on experience in cloud-based development(AWS cloud services/Databricks) and integration. Solid tech skillset/experience in Big Data/Data Model, Scala, PySpark, Java Strong knowledge on Spark technology - Data engineering pipeline Strong Experience in complex SQL Experience working in an agile delivery environment Exposure/understanding of DevOps best practice and CICD (i.e. Jenkins, Git, ) MUST be able to demonstrate strong functional, technical skills Strong communication, and problem-solving skills Databricks As a Senior Databricks Engineer, you will lead our data engineering efforts, pushing the boundaries of data processing and performance optimization on the project. You will be responsible for driving performance enhancements, you will focus on significantly increasing default ingestion speeds to meet the substantial data demands, ensuring our client systems operate at peak efficiency. Your role will involve tackling new and complex challenges, continuously seeking innovative solutions to improve data processing and performance. Scala Designing, creating, and maintaining Scala-based applications Participating in all architectural development tasks related to the application. Writing code in accordance with the app requirements Performing software analysis Making suggestions for enhancements to application procedures and infrastructure. Collaborating with cross-functional teams Mandatory Skills: DataBricks - Data Engineering . Experience: 5-8 Years . Expected annual pay for this role ranges from $60,000 to $1,35,000 . Based on the position, the role is also eligible for Wipro’s standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.