Aws

Must to Have:
Amazon S3:
• Strong experience about buckets, S3 policies, encryption strategies
• Knowledge and experience in handling cross account access
• Knowledge in integrating S3 with other web services like AWS Lambda, Amazon Kinesis
AWS Lambda:
• Strong experience in Python and boto packages for usage with AWS services
• Knowledge and experience in integration of AWS Lambda with Amazon Kinesis, Amazon S3, Amazon CloudWatch, Amazon SNS for notification, encryption using KMS
• Strong debugging skills for issue resolving
AWS Glue:
• Strong experience in Glue components, jobs creation, job scheduling
• Strong experience in PySpark for working on Glue job scripts
• Knowledge and experience on integration of Glue with Amazon S3, Amazon SNS
Amazon Redshift:
• Experience in create, update, deletion and insertion of data into tables, creation of stored procedures
• Knowledge on taking snapshots of data during recovery and restoration
• Experience in integration with EMR, S3, Glue and Kinesis
Amazon Kinesis:
• Experience and knowledge in different Kinesis strategies, sharding techniques
• Strong experience in integration of Kinesis with S3, Lambda, Redshift
Amazon Aurora:
• Knowledge and experience in DB clusters
• Experience in MySQL or PostGreSQL scripts
Amazon EMR:
• Experience in Hadoop , Hive scripts
• Experience in python , Spark
• Experience in integration of EMR service with S3, Redshift, KinesisAdvanced Debugging skills & Large Volume data handling.
Independently breakdown and plan technical Tasks

Nice to Have:
AWS Associate Developer or solution architect Certification.
Having exposure to any of the BI tools like Tableau, pow+E30er BI and Qlikview.
Mandatory soft skills:
Good Communication both Verbally and Written.
Client Facing Skills.