Design, develop, test, deploy, and maintain large-scale data pipelines using AWS Glue.
Good Understanding of Spark/Pyspark
Collaborate with cross-functional teams to gather requirements and deliver high-quality ETL solutions.
Understanding and technical knowledge on AWS service like EC2, S3.
Should have used these technologies in previously executed projects.
Strong AWS development experience for data ETL / pipeline / integration / automation work.
Should have a deep understanding of BI Analytics Solution development lifecycle.
Should have good understanding of AWS Services like Redshift, Glue, Lambda, Athena, S3, EC2
Job Classification
Industry: BankingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full time