Data Engineer

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.

• Build and maintain ETL pipelines using Python and Py Spark 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
• 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

• Strong experience with Python and PySpark for large-scale data processing
• Proven hands‑on experience with AWS services:
  Lambda, SNS, SQS, Glue, Redshift, Step Functions
• Solid SQL skills and familiarity with data modeling and query optimization
• Experience with ETL best practices, data quality checks, and monitoring/alerting
• Familiarity with version control (Git) and basic Dev Ops/CI‑CD workflows

• Mid‑Senior level

• Full‑time

• Other

• Software Development and IT Services and IT Consulting