AWS Data Engineer with Sage Maker

AWS Data Engineer with SageMaker

Location- Reston, VA (In person Client interview) day one onsite

JD :

Seeking an AWS Data Engineer to design, build, and maintain scalable data pipelines and ETL solutions using Python / Pyspark and AWS managed services to support analytics and data product needs.

Key Responsibilities

• Build and maintain ETL pipelines using Python and PySpark on AWS Glue and other compute platforms
• Orchestrate workflows with AWS Step Functions and serverless components ( Lambda )
• Implement messaging and event-driven patterns using AWS SNS and SQS
• Design and optimize data storage and querying in Amazon Redshift
• Very good experience in SageMaker and EMR .
• Write performant SQL for data transformations, validation, and reporting
• Ensure data quality, monitoring, error handling and operational support for pipelines
• Collaborate with data consumers, engineers, and stakeholders to translate requirements into solutions
• Contribute to CI / CD , infrastructure-as-code, and documentation for reproducible deployments

Required Skills