| Urgent Hiring for Data Scientist || HYBRID || TX || F2F at Dallas, Texas, USA |
| Email: [email protected] |
| From: Abhishek Singh, Vizon Inc [email protected] Reply to: [email protected] Job Description - Data Scientist Location: Dallas, TX - in office 3 days a week Need local to Dallas, TX All Visa expect H1 Interview mode: only F2F interview with client. Experience: 8-10 yrs of experience needed Duration : long term project PV strict instruction: 3-4 technical screening video call with PV , there will be Indians on the call so please dont use any type of support like help books, chatGPT , AI and reading your responses from somewhere alse. Follow these instruction at time of screening call : proper eye contact with the interviewer. Firstly listen the question then response. Screening call is just like the client interview so Please aware. Excellent communication skills. techical coding round also for this postion . PV expectation : started as a data engineer and is now a data scientist. Must Haves Skills Extensive experience with Python scripting and Cloud Technologies Extensive experience with AWS components like S3, Athena, EMR, Glue, Redshift, Kinesis and Sagemaker Experience in Automating ETL process with Python and Automation around AWS Data & Infrastructure Extensive Experience with SQL/Unix/Linux scripting is a must Extensive experience on Developing/testing Cloud/On Prem ETL (Ab Initio, AWS Glue, Informatica, Alteryx) Extensive Experience in Data migration is a must (Teradata to Redshift preferred) Experienced in large-scale application development testing Cloud/ On Prem Data warehouse, Data Lake, Data Science Experience in building Data flow CI/CD pipelines in GitLab Extensive experience in DevOps/Data Ops space. Experience in Data Science platforms like SageMaker/Machine Learning Studio/ H2O. Strong experience of Kafka. Keywords: continuous integration continuous deployment artificial intelligence sthree Texas Urgent Hiring for Data Scientist || HYBRID || TX || F2F [email protected] |
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| Wed Dec 18 20:22:00 UTC 2024 |