Qualifications -Bachelor's degree in Computer Science, Software Engineering, MIS or equivalent combination of education and experience-Experience implementing, supporting data lakes, data warehouses and data applications on AWS for large enterprises-Programming experience with Python, Shell scripting and SQL-Solid experience of AWS services such as CloudFormation, S3, Athena , Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc. -Solid experience implementing solutions on AWS based data lakes.-Experience in AWS data lake/data warehouse/business analytics-Experience in system analysis, design, development, and implementation of data ingestion pipeline in AWS-Knowledge of ETL/ELT-End-to-end data solutions (ingest, storage, integration, processing, access) on AWS-Architect and implement CI/CD strategy for EDP-Implement high velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred)-Migrate data from traditional relational database systems,...