Data Engineer (AWS) (Experience 5+ year )

Job Title: Data Engineer (AWS)

Experience: 5+ Years

Location: Remote

About the Role

We are looking for an experienced AWS Data Engineer to design, build, and manage cloud-native data workflows and pipelines. The ideal candidate will have strong expertise in data warehousing, data modeling, PySpark, and ETL automation using AWS services. You will work closely with cross-functional teams to ensure data reliability, scalability, and performance across our cloud infrastructure.

Key Responsibilities

• Design and implement data pipelines using AWS Redshift, Glue, and Athena.
• Develop and optimize SQL, Python, and PySpark scripts for data extraction, transformation, and loading (ETL).
• Build and manage data models ensuring data integrity and consistency.
• Orchestrate workflow deployments using AWS Lambda, Step Functions, and CloudWatch.
• Manage and automate CI/CD pipelines via GitHub to streamline data operations.
• Ensure secure data migration and maintain best practices for data governance and quality.

Required Skills

• 5+ years of experience as a Data Engineer with strong SQL and data modeling skills.
• Proven expertise in AWS data ecosystem — Glue, Redshift, EC2, S3, Athena.
• Hands-on experience with Python and PySpark for data transformation and automation.
• Proficiency in ETL development, data quality analysis, and workflow orchestration.
• Experience managing CI/CD pipelines and deploying through GitHub or similar tools.

Good to Have

• Knowledge of AWS Step Functions, CloudFormation, or Terraform.
• Familiarity with data observability and monitoring frameworks.
• Exposure to containerized deployments (Docker/Kubernetes).

Why Join Us?

• 100% remote opportunity with a global, data-driven engineering team.
• Hands-on exposure to modern AWS cloud data architecture.
• Competitive compensation with a collaborative, fast-paced environment.