AWS Manager - Kolkata, India - PwC India

Description

Certifications Essential:

Professional AWS Solution ArchitectAdditional Preferred Certifications:
AWS Certified Data Engineer and Machine learningMandatory 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 MLPreferred 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, AIRFLOWYear of experience required-10 to 12 yearsQualifications-Graduate Engineer or Management Graduate

Professional Services Skills1.

Led and managed at least three end to end large engagements covering cloud assessment, design, migration / modernization engagement, digitalization and data analytics2.

Conducted cloud maturity assessment of client using tools, questionnaires3. Designed and executed modernization pathways for applications based on 7R principles4. Conducted post migration application performance testing5. Designed data analytics solutions on cloud6. Conceptualized and designed digitalization and automation solutions on cloud for specific functions like manufacturing and supply chain

Knowledge on AWS Services1. Application and Data Center infrastructure assessment for migration and modernization using AWS tools2.

Knowledgeable in following AWS services :

AWS Systems Manager, Config, Cloudwatch, Security Lake, IAM Identity Center, EKS, Managed Grafana, AWS Glue, Data Sync, Athena, SnowOpen Search3.

Experience of AWS tools like Migration evaluator, Schema Conversion tools, Database migration services4. Experience with integrating AWS microservices like API Gateways, AWS SQS and Lambda functions,5. Experience with AWS Data Services like Athena, EMR, Redshift, Quicksight, Glue6. Experience with Data Management Services like Kinesis data and video streams,Appflow, Lake Formation7. Familiarity with AWS IOT services like IOT Core, Device SDK8. AL and Machine Learning Services eg Sage Maker, Bedrock


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

Should have experience to directly handling clients for requirements handling, expectation management, escalation resolutionProject Management:

Should have used and adopted best practice project management tools andresponsible for delivery, issue management, quality adherence, audit of servicesProject Finance Management:

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

Preference for familiarity with CMMI L5 processes for quality managementPre Sales:

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

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