MUMBAI · FULLTIME
Application Architect - Aws Cloud
IBM
Mumbai · onsite · Posted 44d ago
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Undisclosed8–13 yrsfulltimeMumbai
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Section · 01
About this role
Your role and responsibilities
As an Application Architect specializing in AWS Cloud, you will analyze and translate IT requirements into components of a modernized solution using modernization frameworks. You will leverage your expertise in legacy asset analysis, code restructuring, and refactoring to deliver solutions.
Your primary responsibilities will include:
Analyze Legacy Assets: Analyze and assess legacy platforms, identifying opportunities for modernization and integration with cloud environments. This includes code restructuring, refactoring, and business logic extraction into executable business rules.
Design Modernized Solutions: Translate IT requirements into components of a modernized solution using modernization frameworks, ensuring effective integration and service exposure mechanisms.
Develop Cloud Applications: Participate in the development and testing of applications in cloud environments, utilizing knowledge of AWS ECS, AWS Lambda functions, Elastic Cache, and S3 objects.
Enhance Digital Assets: Reuse and enhance digital modernization assets, methods, and collateral to drive efficient solution delivery.
Collaborate with Teams: Work collaboratively as part of Delivery/Engagement teams to ensure successful solution implementation.
Required education
Bachelor's Degree
Required technical and professional expertise
Legacy Asset Analysis: Exposure to analyzing and assessing legacy platforms, identifying opportunities for modernization and integration with cloud environments, including code restructuring and refactoring.
Modernization Frameworks: Experience working with modernization frameworks to translate IT requirements into components of a modernized solution, ensuring effective integration and service exposure mechanisms.
Cloud Application Development: Exposure to developing and testing applications in cloud environments, utilizing knowledge of AWS ECS, AWS Lambda functions, Elastic Cache, and S3 objects.
Code Restructuring: Experience working with code restructuring, refactoring, and business logic extraction into executable business rules.
Digital Asset Enhancement: Exposure to reusing and enhancing digital modernization assets, methods, and collateral to drive efficient solution delivery.
Experience: 8+ years in data engineering or architecture, with at least 3-5 years specifically hands-on with AWS cloud environments.
AWS Stack: Deep expertise in AWS analytics and database services, including Amazon Redshift, Glue, S3, Lambda, RDS, and EMR.
Programming & Tools: Proficiency in SQL, Python, and data modeling tools. Experience with orchestration tools (like Apache Airflow) and lakehouse technologies (dbt, Iceberg).
Data Governance: Strong understanding of metadata management, data lineage, and privacy frameworks.
Projects: Must have successfully delivered ONE end to end Datalakehouse project on AWS.
Preferred technical and professional experience
Familiarity with Legacy Platforms: Exposure to one or more legacy platforms, including integration and service exposure mechanisms to interface components for reuse by Systems of Engagement.
Knowledge of Cloud Environments: Familiarity with development and testing of applications in cloud environments, utilizing knowledge of AWS ECS, AWS Lambda functions, Elastic Cache, and S3 objects.
Digital Modernization Assets: Exposure to reusing and enhancing digital modernization assets, methods, and collateral to drive efficient solution delivery.
Years of Experience:
8 - 16
8 - 16
Sourced from naukri
Section · 02
Skills
JenkinsDockerOSDC SharpApplication ArchitecturesCloud Computingamazon web servicesPatch ManagementSCCMDot Net CoreOracle DBsoftware distributioncloudSQLJavaSoftware DevelopmentMicrosoft AzureSQL ServerCi/Cd
Section · Company
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