• Citizen

• Work Permit

• Full Time

• Direct Hire

• UG :- Any UG

• PG :- Any PG

• No of position :- ( 1 )

• Post :- 5th Mar 2020

Role:

We are looking for a Lead AWS Data Architect , who will be responsible for providing technical leadership to large enterprise scale projects. You are expected to possess in-depth knowledge of specified multiple technological areas, and architectural areas. You will also be responsible for defining and documenting architecture, capturing and documenting non-functional requirements, preparing estimates and defining technical solutions to proposals (RFPs). This role requires a broad range of skills and the ability to step into different roles depending on the size and scope of the project

Responsibilities: -

Demonstrated ability to have successfully completed multiple, complex technical projects and create high-level design and architecture of the solution, including class, sequence and deployment infrastructure diagrams.

Take ownership of technical solutions from design and architecture perspective for projects in presales phase as well as on-going projects.

Prior experience with application delivery using an Onshore/Offshore model

Experience with gathering end user requirements and writing technical documentation

Time management and multitasking skills to effectively meet deadlines under time-to-market pressure

Suggest innovative solutions based on new technologies and latest trends to sales team.

Review the architectural/ technological solutions for ongoing projects and ensure right choice of solution.

Work closely with sales team and clients to understand their business, capture requirements, identify pain areas, accordingly, propose an ideal solution and win business.

Design and deploy services on AWS cloud and move on-premise infrastructure to AWS.

Required:

Must have  experience working as a AWS Data Architect and in Data warehouse, ETL, BI projects.

Must have experience at least one end to end implementation of Datawarehouse on Amazon cloud and 2 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, Amazon EMR, Amazon Machine Learning.

Hands-on experience on AWS Data Analysis services like Amazon Redshift, Amazon Quick sight.

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

Should have valid B1 Visa.