AWS Data Architect
Brillio Technologies Pvt. Ltd
1d ago
source : Shine
  • Min 10+ years of IT experience, including experience in designing big data & cloud solution architecture
  • Minimum 4 years of experience in cloud technology (AWS)
  • Minimum 4 years of experience in big data technology.
  • Hands on experience developing enterprise solutions using Web Services, designing and building frameworks, enterprise patterns, database design and development
  • Hands on experience in
  • End to end Cloud solution (AWS)
  • End to end Big data solution
  • Batch solution (aws glue / aws pipeline)
  • Distributed compute solution (Spark, EMR)
  • Analyze data through standard SQL (Athena)
  • Functional solution (aws lambda)
  • Distributed storage (redshift, S3)
  • Real-time solution (kafka, aws kinesis)
  • DW-BI (Informatica, Oracle, Teradata)
  • Experience on Informatica BDM will be added advantage
  • Utility Domain experience will be an added advantage
  • Demonstrated ability to think strategically about solutions to business, product, and technical challenges.
  • Awareness of technology trends and how they impact the way businesses consume IT
  • Support the Program in AWS deployments and innovative AWS solutions.
  • Analyze user requirements, maintain operations documents, and propose high-level system architectures to develop system requirements specifications
  • Guide users in formulating requirements, advise alternative approaches, and conduct feasibility studies
  • Support services before operational deployment through activities such as system design consulting, developing software platforms and frameworks, capacity planning and launch reviews.
  • Scale systems sustainably through mechanisms such as automation and evolve systems by recommending changes that improve reliability and velocity.
  • Develop system architecture and system design documentation
  • Design and arrangement of scalable, highly attainable, and fault tolerant systems on AWS.
  • Assist with migration of architectures from the lab environment to the operational AWS environment
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