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AWS Data Engineer

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Onsite

AWS Data Engineer

Umbrella Club

AWS Data Engineer

Skills

MongoDBDynamoDBPythonAWS LambdaKafkaAmazon RedshiftMachine LearningScalaAWSAWS Kinesis

12 hours ago

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Important information


Contract type:

Permanent

Location:

Sydney NSW, Australia

Work mode:

Onsite

Published on:

27 October 2026

What they need


We're Hiring: AWS Data Engineer – SageMaker Unified Studio

We are looking for an experienced AWS Data Engineer with hands-on expertise in SageMaker Unified Studio and building scalable, high-performance data ingestion and processing frameworks.

Key Responsibilities & Skills:

  • Experience with SageMaker Unified Studio, including Discover, Build, Govern, JupyterLab and project setup.
  • Strong Python and Boto3 skills for developing reusable data ingestion frameworks and API integrations.
  • Hands-on experience building real-time and batch data pipelines using AWS Kinesis, Kafka, AWS Glue and Apache Spark.
  • Strong knowledge of AWS services, including Lambda, S3, DynamoDB, SQS, SNS and API Gateway.
  • Experience with Amazon RDS and Redshift, including data ingestion, batch exports and performance optimisation.
  • Understanding of workflow orchestration, ML pipelines, data governance, IAM and AWS networking security.

Good to Have: Experience with SageMaker ML and GenAI tools, Scala and MongoDB.

Apply directly or call Anupama Cavuturi on 0486 199 174 for a confidential discussion.

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