AWS -Data Engineer

Competencies:

• Passion for educating, training, designing, and building end-to-end systems for a diverse and challenging set of customers to success.
• Characteristics of a forward thinker and self-starter that flourishes with new challenges and adapts quickly to learning new knowledge.
• Ability to work with a global team of consulting professionals across multiple projects
• Knack for helping an organization to understand application architectures and integration approaches, to architect advanced cloud-based solutions, and to help launch the build-out of those system.

Roles Responsibilities:

• 2 or more years of hands-on experience on the AWS Services, especially AWS Glue.
• Strong hands-on experience in AWS Glue, automation build-out, integration with other AWS services, using SPARK .
• Hands-on administrating skill required with AWS Managed Kafka configuration for creating topics, consumer and producer control.
• Need to review and decompose the existing Java application to be replaced with either a Mule service built by the Mule squad, or Lambda service in Python within the Operational Data squad.
• Ideally suited to someone who has worked on Java development in past.
• Working experience with: AWS Athena and Glue Pyspark, EMR, DynamoDB, AWS S3, Redshift, Kinesis, Lambda, Apache Spark, Databricks on AWS, Snowflake on AWS