Job Seekers, Please send resumes to resumes@hireitpeople.com Must Have Skills: AWS Spark Hadoop Detailed Job Description: 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 total 14+ yrs. in IT and 5+ years' experience working as a AWS Data Architect and 6+ years in Data warehouse, ETL, BI projects, Hadoop, Spark, Scala, Databricks, AWS Must have experience at least one end to end implementation of Data warehouse on Amazon cloud and 2 end to end data warehouse implementations on-premise. 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 EMR Hands-on experience on AWS Data Analysis services like Amazon Redshift 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

Minimum years of experience: 10 years

Certifications Needed: No

Top 3 responsibilities you would expect the Subcon to shoulder and execute:

Must have total 14 yrs. in IT and 5 years experience working as a AWS Data Architect and 6 years in Data warehouse, ETL, BI projects, Hadoop, Spark, Scala, Databricks, AWS Must have experience at least one end to end implementation of Data warehouse on Amazon cloud and 2 end to end data warehouse implementations on premise. Hands on experience on AWS storage services like AmazonS3, Amazon Kinesis, Amazon Dynamo DB, Amazon RDS.

Interview Process (Is face to face required?): No

Does this position require Visa independent candidates only? No