Software Engineer with 10+ years of experience in AWS Data Engineering.
Must work in PST hours and provide support/be on bridge when there are production issues with high business impacts.
Must be technically independent to perform all activities across build-deployment. Expertise in end-to-end ETL Datawarehouse, Python, AWS managed services (EC2, EMR, Glue, Step function, SNS, Airflow, SQS, Lambda, Cloud Watch, Cloud Trail, S3, Redshift), different databases, Databricks, Starburst.
Must have good multi-tasking skills, time management. Expected to do final Technical Reviews for all the offshore code changes on daily basis, provide technical resolutions and necessary guidance to resolve blockers.
Production Support Experience – Strong Triage and Troubleshooting experience, ability to work against timelines. Documentation of Root Cause, strong Analytical Skills for resolving production problems.
Must own the SLAs and ensure zero customer escalations/follow ups.
Experienced in executing projects in on-site/offshore model and successful implementation of end-to-end ETL Datawarehouse projects.
Comes with Rich Experience working with Customers directly. (stakeholder-facing roles). Must have ability to document the business requirements for the teams and clearly document and explain technical issues to business audience.
Problem solving mindset and proactive with follow ups.
Must Own the Final Review of Deliverable and Post Deployment Checkouts have followed by customer communication.
Nice to Have:
Terraform, DevOps, Tableau and BI tools on high level.
Incident and service request management (SPARC) - making sure tickets are acknowledged, updated, and met SLA by the team members.