AWS Manager

Certifications Essential: Professional AWS Solution Architect

Additional Preferred Certifications: AWS Certified Data Engineer and Machine learning

Mandatory skill sets: Application migration, modernization, data analytics on cloud, AWS IOT services, migration factory, Infrastructure assessment, application assessment, AWS solution architect, AWS Data Services, Athena, EMR, Redshift, Quicksight, Glue, AWS Microservices, Kinesis, Lake Formation, API Gateways, AWS AI and ML

Preferred skill sets: Gen AI, Bedrock, Manufacturing and supply chain automation solutions on cloud, managed services, AWS MAP Programs, Estimation of cloud cost, Done at least 3 end to end cloud transformation engagement on AWS from Assessment, Modernization, Migration, digitalization of processes on cloud, Databricks, python, REST API, ETL, KAFKA, AIRFLOW

Year of experience required- 10 to 12 years

Qualifications- Graduate Engineer or Management Graduate

Professional Services Skills

1. Led and managed at least three end to end large engagements covering cloud assessment, design, migration / modernization engagement, digitalization and data analytics

2. Conducted cloud maturity assessment of client using tools, questionnaires

3. Designed and executed modernization pathways for applications based on 7R principles

4. Conducted post migration application performance testing

5. Designed data analytics solutions on cloud

6. Conceptualized and designed digitalization and automation solutions on cloud for specific functions like manufacturing and supply chain

Knowledge on AWS Services

1. Application and Data Center infrastructure assessment for migration and modernization using AWS tools

2. Knowledgeable in following AWS services : AWS Systems Manager, Config, Cloudwatch, Security Lake, IAM Identity Center, EKS, Managed Grafana, AWS Glue, Data Sync, Athena, SnowOpen Search

3. Experience of AWS tools like Migration evaluator, Schema Conversion tools, Database migration services

4. Experience with integrating AWS microservices like API Gateways, AWS SQS and Lambda functions,

5. Experience with AWS Data Services like Athena, EMR, Redshift, Quicksight, Glue

6. Experience with Data Management Services like Kinesis data and video streams,

Appflow, Lake Formation

7. Familiarity with AWS IOT services like IOT Core, Device SDK

8. AL and Machine Learning Services eg Sage Maker, Bedrock

Team Management: Should have been responsible for managing team size of 8 to 10 people

Client Handling: Should have experience to directly handling clients for requirements handling, expectation management, escalation resolution

Project Management: Should have used and adopted best practice project management tools and

responsible for delivery, issue management, quality adherence, audit of services

Project Finance Management: Responsible for Project performance metrics like time and effort management, budget and expenses

Quality Management: Preference for familiarity with CMMI L5 processes for quality management

Pre Sales: Should have handled go to market activities like client presentations, solution preparation, estimations, POCs, proposal preparation

OEM: Handling Should be familiar with AWS programs, pricing methods, APN navigation