Big Data security engineer

Company: Happiest Minds Technologies Limited
Location: Not Specified, Not Specified, United States
Type: Full-time
Posted: 27.AUG.2021
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Summary

About Happiest Minds Technologies Limited Happiest Minds Technologies Limited (NSE: HAPPSTMNDS), a Mindful IT Company, enables digital tran...

Description

About Happiest Minds Technologies Limited

Happiest Minds Technologies Limited (NSE: HAPPSTMNDS), a Mindful IT Company, enables digital transformation for enterprises and technology providers by delivering seamless customer experiences, business efficiency and actionable insights. We do this by leveraging a spectrum of disruptive technologies such as: artificial intelligence , blockchain , cloud , digital process automation , internet of things , robotics/drones, security , virtual/augmented reality , etc. Positioned as 'Born Digital . Born Agile', our capabilities span digital solutions, infrastructure, product engineering and security. We deliver these services across industry sectors such as automotive, BFSI, consumer packaged goods, e-commerce, edutech, engineering R&D, hi-tech, manufacturing, retail and travel/transportation/hospitality.

A Great Place to Work-Certified™ company, Happiest Minds has its operations in the U.S., UK, Canada, Australia and Middle East.

Data security Engineer

Remote

  • Experience in security of Big Data platforms e.g. Snowflake , EMR Redshift, Big Query etc. Focus is security and data protection skills
  • Design, develop, configure, test, debug and document all layers of the Cloud stack to satisfy the new big data platform/system & Security requirements. Research and evaluate alternative solutions and make recommendations for changes that would enhance the security of the platform.
  • Managed the Cloud hosting platform as well as the design and implementation of higher level services such as the IaaS, PaaS and SaaS layers, big data platform, Authentication/Authorization, Data encryption, Key management services integration and other security services. (data at rest, data in use, metadata and data in transit, data security policies, integration with IAM)
  • Provide comprehensive security, threat analysis consultation to business unit, IT and cyber teams at the deepest technical level. Including applications that use the data platforms and their end to end security integration.
  • Work closely with Cloud Services management to identify and specify complex business requirements and processes that drive the platform security Patterns and roadmap
- provided by Dice

 
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