As a Brillian what your day would look like o You will partner closely with the clients to deliver state-of-the-art outcomes by engineering solutions.
o You will continue to expand your expertise in Data Science, Big Data, Analytics and Visualization tools / techniques daily to enable incremental innovation in on-going projects o At all times, you will clearly articulate and communicate with a diverse set of internal and external customers with varying degrees of technical proficiency and deliver critical business and process related information to mitigate any risks or failures o You will persistently look for opportunities to address customer needs by being a thought partner in every moment of engagement To succeed, youd have technical experience and expertise in A.
For you to be successful, you must o Min 8 to 12 years of IT experience, including experience in designing big data & cloud solution architecture o Minimum 3 years of experience in cloud technology (AWS) o Minimum 3 years of experience in big data technology.
o Hands on experience developing enterprise solutions using Web Services, designing and building frameworks, enterprise patterns, database design and development B.
Youll bring this to the table - o Hands on experience in (any 6 points) o End to end Cloud solution (AWS) - 4 ( Azure and AWS) o End to end Big data solution -4 o Batch solution (aws glue / aws pipeline) o Distributed compute solution (Spark, EMR) o Analyze data through standard SQL (Athena) o Functional solution (aws lambda) o Distributed storage (redshift, S3) o Real-time solution (kafka, aws kinesis) o DW-BI (Informatica, Oracle, Teradata) o Experience on Informatica BDM will be added advantage o Utility Domain experience will be an added advantage o Demonstrated ability to think strategically about solutions to business, product, and technical challenges.
o Awareness of technology trends and how they impact the way businesses consume IT o Support the Program in AWS deployments and innovative AWS solutions.
o Analyze user requirements, maintain operations documents, and propose high-level system architectures to develop system requirements specifications o Guide users in formulating requirements, advise alternative approaches, and conduct feasibility studies o Support services before operational deployment through activities such as system design consulting, developing software platforms and frameworks, capacity planning and launch reviews.
o Scale systems sustainably through mechanisms such as automation and evolve systems by recommending changes that improve reliability and velocity.
o Develop system architecture and system design documentation o Design and arrangement of scalable, highly attainable, and fault tolerant systems on AWS.
o Assist with migration of architectures from the lab environment to the operational AWS environment.