AWS Data Engineer - Glue & Spark (3-6 years)
An exciting opportunity for a professional holding overall 3-6 years of experience, the one having 1 or more years of hands-on experience on the AWS Services, especially AWS Glue. The candidate must be having Strong hands-on experience in AWS Glue, automation build-out, integration with other AWS services, using SPARK.
Your future employer: One of the most prominent players in the Artificial Intelligence space.
Administrating skill required with AWS Managed Kafka configuration for creating topics, consumer and producer control.
Reviewing and decomposing 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.
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.
A bachelor’s degree in Computer Science or related field with technology experience
1 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
Working experience with: AWS Athena and Glue Pyspark, EMR, DynamoDB, AWS S3, Redshift, Kinesis, Lambda, Apache Spark, Databricks on AWS, Snowflake on AWS
Work across all phases of SDLC, and use Software Engineering principles to build scaled solutions.
Be an integral part of large-scale client business development and delivery engagements.
What is in it for you?
Work in diverse culture and global team
Grow in culture focused on training and mentoring
Work in a fast-paced environment in an established brand
If you think you are perfect fit for this role, kindly drop me an email along with your updated CV at firstname.lastname@example.org