AWS Data Engineer

Clera is seeking a skilled AWS Data Engineer to join their team in a fully remote capacity. This hands-on role focuses on the full lifecycle of data infrastructure, where you will be responsible for building robust pipelines that ingest, process, and deliver high-quality datasets within a large enterprise environment.

Key responsibilities

• Stream and process source data from mainframe and legacy systems into AWS S3.
• Design and implement complex ETL/ELT workflows utilizing AWS Glue.
• Perform rigorous data reconciliation, validation, and quality checks to ensure accuracy.
• Curate and transform data for delivery through AWS Aurora and RDS PostgreSQL.
• Manage S3 storage, including retention policies and lifecycle management.
• Automate workflows and manage deployments using GitHub Actions CI/CD pipelines.

Requirements

• 5+ years of professional experience in data engineering, specifically building ETL/ELT workflows.
• Proven production experience with AWS Glue, S3, and RDS/Aurora.
• Strong background in building and maintaining data streaming pipelines using Kafka.
• Proficiency in GitHub repository management and CI/CD automation.
• Experience leveraging AI tools to enhance engineering productivity.
• Ability to work independently and take full ownership of technical deliverables.

What we offer

• Opportunity to work on large-scale data infrastructure initiatives.
• Fully remote work environment allowing for professional flexibility.
• Engagement with modern AWS cloud services and data streaming technologies.
• Collaborative culture focused on automation and engineering excellence.