Overview
Skills
Job Details
Looking for Senior AWS Data Engineer
Role is 100% Remote Job Description - 100% Interview & Offer!!- We had interview on Friday and he was unable to qualify, Need excellent communicator!! Note- I really need a rockstar with a seasoned linkedin. Excellent communication skills required. I need a native citizen for the next one . A Joe or Bob. Python programming and tableau is important. Interview got rejected and they are open to take Native without certification. Please recruiter true AWS Data Engineer. Senior AWS Data Engineer Location- 100% Remote- EST hours 6+ months Client- PSEG
Key notes- Senior AWS Data Engineer who is very strong in Python programming. Must have s3, Redshift, Tableau, strong API's, NICE experience, data curation, Data ingestion etc.
Feedback for some rejected candidates- They passed on all other candidates. THis was the feedback from the last candidate. The other AWS Engineer Candidates I don t get the sense that this candidate has the breadth of experience we would need in an AWS Data Engineer. For example, he has AWS Cloud Practioner certificate that is a very basic certification and infact most of us who are not even technical have one. For an AWS Data Engineer, I would expect more.
MUST HAVE AN CERTIFICATE OF AWS DATA ENGINEER
Summary- Looking Senior level - full stack AWS Data developer/Engineer who can pull, extract the data and build pipelines from NICE CXone application to ingest data into PSEGLI AWS Data Lake environment which is data analytical platform of PSEG. Expert in backend API integration experience
Note- NICE CXone is a cloud-based contact center platform that helps businesses manage and improve customer interactions across various channels
Key skills required- Must have experience of pulling, extracting data and building pipelines NICE application platform.
Required Skills & Experience- Total- 10+ years experience required
Minimum 6- 7 years of experience with below skill set.
Expert in backend API integration experience
Python Programming
Strong API's
Tableau
Building Pipelines
Data Ingestion
Data Curation
Data Transformation
Data Lake