Actively looking for a Data engineer with AWS Glue and Redshift

Role: AWS Data Engineer

Location: 100% Remote

Role Summary

The Data Engineer will build and maintain secure, scalable, and automated data pipelines to support the ingestion, transformation, and curation of data products. This role will focus on implementing CI/CD pipelines, automated testing, and monitoring solutions.

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.

5+ years of experience in data engineering and pipeline development.

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