Data Engineer

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

Desired Skills and Experience

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