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AWS Data Engineer

Cliff Services Inc

Reston · On-site Full-time Mid Level Today

About the role

Description

This position is for AWS Data Engineer.

5–7+ years experience with AWS data engineering, ETL/ELT pipelines, and cloud‑native data processing.

Looking for proficiency in the following areas –

  • AWS Data Services (Glue [PySpark], Lambda, Step Functions, S3, DynamoDB, Redshift, RDS, CloudWatch, IAM)
  • Building and maintaining ETL/ELT data pipelines using AWS Glue, PySpark, Lambda, and orchestration frameworks
  • Python scripting for ETL transformations, automation, and data quality checks
  • Experience with distributed data processing (Spark / PySpark)
  • Experience integrating data from APIs, AWS services, and external systems
  • Familiarity with monitoring and logging tools (CloudWatch, Splunk)
  • Experience working with COTS or enterprise platforms as data sources

Other Requirements

  • Exposure to Agile methodology
  • Good communication, documentation, and teamwork skills
  • Ability to support off-hours production releases and provide on-call support for critical data pipelines

Education

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field
  • Relevant professional certifications

Skills

AWS GlueAWS IAMCloudWatchDynamoDBLambdaPythonPySparkRDSRedshiftS3SparkStep Functions

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