Required Skills

PAAS Amazon cloud Amazon AWS data Architect Agile Kafka (ETL Amazon Kinesis Amazon Dynamo DB

Work Authorization

  • Us Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 19th Nov 2020

JOB DETAIL

  • Demonstrated ability to have successfully completed multiple, complex technical projects and create high-level design and architecture of the solution.
  • Must have experience on at least one end to end implementation of Data warehouse on Amazon cloud and an end to end data warehouse implementations on-premise.
  • Must have expertise in AWS Platform as a Service (PAAS).
  • Hands-on experience on AWS storage services like AmazonS3, Amazon Kinesis, Amazon Dynamo DB, Amazon RDS.
  • Hands-on experience on AWS Event/ Data Processing services like AWS Lambda, Amazon Kinesis.
  • Hands-on experience on AWS Data Analysis services like Amazon Redshift.
  • Certified Amazon AWS data Architect (Desirable).
  • Should be able to troubleshoot problems across infrastructure, platform and application domains.
  • Must have experience of Agile development methodologies
  • Strong written communication skills. Is effective and persuasive in both written and oral communication
  • Knowledge of data integration processes and patterns including messaging, event streams, Kafka(required), Extract/Transform/Load (ETL), and pub/sub.
  • Experience creating and managing data quality monitoring and working with data governance councils and stewards, including creating and tracking KPIs and data dictionaries.
  • Demonstrated ability to track data lineage, metadata, and master/reference data through an enterprise. Ideally experience working within a federated mastering system with a variety of sources.

 Regards,

 

Ashish Negi | Recruitment Lead

Office: 213-266-7871

Company Information