Job Title: - AWS Data Engineer with Redshift Location: - Gurgaon Drive Date-26th April 25 Job Type 3 days from office (Hybrid) Team management and client handling skills, including SLA tracking and job failure resolution Excellent knowledge in Cloud technologies, especially AWS Strong in AWS Data Engineering pipelines, SQL, Python and DWH Liaise with AWS/SRE/D3C development teams for current job schedules, SLAs within AWS environment.,
Employement Category:
Employement Type: Full time Industry: IT Services & Consulting Role Category: Not Specified Functional Area: Not Specified Role/Responsibilies: Aws Data Engineer/aws Glue + Redshift