ETL Modernization Developer

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.