| Big data / Machine Learning Engineer || NYC (Hybrid) (MUST BE LOCAL NO RELOCATION) at NYC, New York, USA |
| Email: [email protected] |
| Role : Big Data/ Machine Learning Engineer Sr Location : Hybrid in NYC, NY ONLY (MUST BE LOCAL NO RELOCATION) Duration : 12+ Months Visa : GC, GC-EAD & USC Interview Process: 1 hour interview, panel. NO coding test during this interview, just a technical discussion of their experience. Note : Prior Capital One experience is a big plus! We are looking for an experienced big data engineer to join our team in building highly scalable and resilient data pipelines using cutting edge technologies. In this role you will be partnering with various cross-functional teams such as Product , Data Scientists and Compliance to name a few. This role also includes providing Production support on a rotation basis to monitor the execution of the pipelines and addressing any issues that stem from it. Must have Qualifications 4 to 6 years of professional experience in building data pipelines involving data ingestion through transformations and making them available to downstream applications. 4 to 6 years of work experience in Big Data Technologies such as Spark, Databricks or Hadoop. 2+ years of experience in BOTH Scala and Python (API is done with Python Data Pipelines are in Scala and Python) 2+ Experience in AWS services - S3, DynamoDB, Cloudwatch, IAM, ECS, Fargate, Experience with CI/ CD Nice to have qualifications Build API for data consumption Experience working on real-time data and streaming applications Thanks and Regards, Gurpreet Senior Technical Recruiter Cloud Space LLC Desk No: 980-294-6102 Ext: 1030 Email: [email protected] Website: www.cloudspacetek.com Address: 1909 J N, Pease Place, Suite 201, Charlotte, NC 28262 Company Url: https://www.linkedin.com/company/cloudspacetek/ -- Keywords: continuous integration continuous deployment sthree information technology green card New York North Carolina Big data / Machine Learning Engineer || NYC (Hybrid) (MUST BE LOCAL NO RELOCATION) [email protected] |
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| Wed Aug 07 21:13:00 UTC 2024 |