NTT DATA

Compensation

Full Description

- Design and deploy AWS infrastructure using CDK - Build (Custom and Default) AppFlow integrations between Salesforce and AWS services - Develop Lambda functions for data transformation and processing - Implement S3-based data lake solutions - Configure Aurora database connections and queries - Create automated deployment pipelines - Monitor and optimize data processing workflows - 5+ years of AWS cloud development experience - 3+ years of Infrastructure as Code (CDK/CloudFormation) experience - AWS CDK (Cloud Development Kit) - Infrastructure as Code using Python - Amazon AppFlow - SaaS data integration and ETL workflows - AWS Lambda - Serverless compute for data processing - Amazon S3 - Data lake storage and file management - Amazon Aurora - Managed relational database operations - AWS SDK - Programmatic AWS service interactions -AWS Dynamo DB - Python - Primary development language for CDK and Lambda functions - SQL - Database queries and data manipulation - SOQL - Salesforce Object Query Language - JSON/REST APIs - Data format handling and API integrations - Unit and Integration Testing for AWS - Salesforce Integration - AppFlow connectors and data synchronization - ETL Processes - Extract, Transform, Load operations - Data Pipeline Architecture - End-to-end data flow design - Real-time Data Processing - Event-driven architectures - Proven track record with serverless architectures - AWS Certified Solutions Architect or Developer - Knowledge of data governance and security best practices INDFSINS L1-NorthAmerica