Technology Consulting-DP AWS Data Platform Senior ZS

• Proficient in any object-oriented/ functional scripting languages: Pyspark, Python etc.
• Experience in using AWS SDKs for creating data pipelines – ingestion, processing and orchestration. 
• Hands on experience in working with big data on AWS environment including cleaning/transforming/cataloguing/mapping etc.
• Good understanding of AWS components, storage (S3) & compute services (EC2)
• Hands on experience in AWS managed services (Redshift, Lambda, Athena) and ETL (Glue).
• Experience in migrating data from on-premise sources (e.g. Oracle, API-based, data extracts) into AWS storage (S3)
• Experience in setup of data warehouse using Amazon Redshift, creating Redshift clusters and perform data analysis queries
• Experience in ETL and data modelling on AWS ecosystem components - AWS Glue, Redshift, DynamoDB

Experience in setting up AWS Glue to prepare data for analysis through automated ETL processes

• Proficient in any object-oriented/ functional scripting languages: Pyspark, Python etc.
• Experience in using AWS SDKs for creating data pipelines – ingestion, processing and orchestration. 
• Hands on experience in working with big data on AWS environment including cleaning/transforming/cataloguing/mapping etc.
• Good understanding of AWS components, storage (S3) & compute services (EC2)
• Hands on experience in AWS managed services (Redshift, Lambda, Athena) and ETL (Glue).
• Experience in migrating data from on-premise sources (e.g. Oracle, API-based, data extracts) into AWS storage (S3)
• Experience in setup of data warehouse using Amazon Redshift, creating Redshift clusters and perform data analysis queries
• Experience in ETL and data modelling on AWS ecosystem components - AWS Glue, Redshift, DynamoDB

Experience in setting up AWS Glue to prepare data for analysis through automated ETL processes

• BE/BTech/MCA