Data Engineer- AWS

Data Engineer- AWS

Job Description

5 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
• 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.                                                                                                            
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Company Profile:

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Industry: IT / Software

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Employment Type: Full time

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