Job Objective
- Evaluating the requirements of the businesses and makes architectural recommendations for implementation and deployment of the application on AWS.
- Strong knowledge of building Data Warehouse/Data Lake through ETL end to end creation experience for few projects using below services:
Amazon EC2 Good understanding of VPC, Subnets, Security Groups etc.
S3 Hands on knowledge to perform various File operations on S3 /S3 Glacier Files using AWS Glue and Athena
AWS Glue
- To read incremental data from on premise DB using JDBC connection , Cloud, SFTP Folder/Shared Folder, Third party tools
- Push incremental data into RDBMS system/ Amazon Redshift
- Read incremental data from S3
- Hands on experience on working with AWS Glue Scripts using PySpark/ Scala/Python Shell/Core Python
Amazon Athena
Quicksight
- Working knowledge of dashboard creation/configuration on both Web and Mobile
AWS Sagemaker
AWS Redshift or Dynamo DB, Kinesis, Kafka
Good knowledge of other AWS Services like :
- Amazon Elastic Container Kubernetes
- AWS EMR
- Cloud watch
- AWS Data migration service (DMS) and RDS
- Scheduling Jobs through Lambda, Workflow
- Hands-on experience and advanced knowledge of SQL.
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