Dear Candidate,
About us - Coders Brain is a global leader in its services, digital and business solutions that partners with its clients
to simplify, strengthen and transform their businesses. We ensure the highest levels of certainty and satisfaction
through a deep-set commitment to our clients, comprehensive industry expertise and a global network of
innovation and delivery centers. We achieved our success because of how successfully we integrate with our
clients.
• Quick Implementation - We offer quick implementation for the new onboarding client.
• Experienced Team - We’ve built an elite and diverse team that brings its unique blend of talent, expertise,
and experience to make you more successful, ensuring our services are uniquely customized to your
specific needs.
• One Stop Solution - Coders Brain provides end-to-end solutions for the businesses at an affordable price
with uninterrupted and effortless services.
• Ease of Use - All of our products are user friendly and scalable across multiple platforms. Our dedicated
team at Coders Brain implements keeping the interest of enterprise and users in mind.
• Secure - We understand and treat your security with utmost importance. Hence we blend security and
scalability in our implementation considering long term impact on business benefit.
Job Role
Cloud Data Solution Architect
Primary & Secondary Skills
Data Engineering in Cloud and Modern Data Platform technologies, AWS
Band
E4
Experience
15-20yrs
Location
Hyderabad (5 days WFO)
Detailed JD
Design and develop robust, scalable, and efficient data architecture to support the organization's data needs, including data storage, data processing, and data integration.
Help bridge the gap between the existing skill sets of data engineers’ / data scientists and Cloud environments for the production grade delivery of analytics solutions
Grow data platform capabilities to solve new data problems and challenges leveraging cloud platforms
Hands-on implementation of Data Cloud applications, primarily using Hadoop, Python, Elasticsearch, and the AWS stack
Monitor and troubleshoot data platform performance issues, proactively identifying and implementing optimizations to ensure optimal system performance.
Develop and maintain data models, data dictionaries, and metadata repositories to ensure data consistency, accuracy, and standardization across the organization.
Collaborate with data engineers, data scientists, business analysts, and other stakeholders to understand their data requirements and translate them into technical specifications.