Job Seekers, Please send resumes to resumes@hireitpeople.com

• Must have total 10+ yrs. in IT and 5+ years experience working in Hadoop, Spark, Scala, AWS, Data Science
• Must have experience at least (1) end to end implementation of Datawarehouse on Amazon cloud and (2) end to end data warehouse implementations on - premises.
• 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

• 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.

Minimum years of experience: 8-10 years

Certifications Needed: No

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

1. Develop Streaming framework using Spark
2. Develop Spark, Kafka framework for Data ingestion
3. Implement best practices in Real time data Ingestion, processing and provide innovative automation

Interview Process (Is face to face required?) No

Does this position require Visa independent candidates only? No