4-5 years of experience with building end-to-end Data Lake using AWS technologies (S3, Glue, Athena, RedShift)
Design, develop and support data pipelines in a hybrid cloud environment to enable advanced analytics
Experience with scheduling data pipelines using Apache Airflow
Ability to develop new services in AWS using server-less or container-based
Experience with CI/CD of data pipelines and micro-services
Hands-on experience with DevOps using Jenkins and AWS CDK
Strong Python programming background with advanced SQL knowledge
Basic DWH knowledge along with some ETL tool exposure
Hands-on experience with Docker/Kubernetes
Experience working in Agile Scrum methodology
DATA LAKE, DATALAKE, AWS, AMAZON WEB SERVICES, S3, GLUE, ATHENA, REDSHIFT, RED SHIFT, DEVOPS, JENKINS, SQL, ETL, DWH, DATAWAREHOUSE, DATA WAREHOUSE, DOCKER, KUBERNETES, SCRUM, AGILE
ANY GRADUATE