AWS Data Engineer :: Hybrid :: W2 Position

Role: AWS Data Engineer

Location: Naperville, IL - Hybrid

Key Responsibilities

·       Data Pipelines: Develop configuration driven ingestion and transformation pipelines using AWS Glue, Lambda, and Redshift.

·       Automation: Implement CI/CD pipelines for automated build, test, and deployment of data products.

·       Testing: Establish automated test frameworks for schema validation, data quality, and performance testing.

·       Monitoring: Set up monitoring and observability dashboards for product level metrics (CloudWatch, custom metrics).

·       Collaboration: Work with data modelers and architects to ensure alignment with business requirements.

Required Skills

·       Programming: Proficiency in Python, SQL, and shell scripting.

·       AWS Expertise: Hands on experience with AWS services (Glue, Redshift, S3, Lambda, CloudWatch).

·       Automation: Experience with CI/CD tools (Terraform, Jenkins, AWS CodePipeline).

·       Data Integration: Strong knowledge of ETL/ELT processes and frameworks.

·       Soft Skills: Strong problem solving, collaboration, and communication skills.

Qualifications

·       Bachelor''''s degree in Computer Science, Data Engineering, or related field.

·       10+ years of experience in data engineering and pipeline development.

·       AWS Certified Data Analytics or AWS Certified Developer is a plus.