Description

You will design, build, and maintain scalable data pipelines in AWS, ensuring production-ready code quality and operational excellence.

This role is hybrid.

Responsibilities

• Design and maintain scalable data ingestion, transformation, and processing workflows.
• Develop high-quality, production-ready code in Java or Python.
• Implement logging, monitoring, and performance optimization for distributed systems.
• Collaborate with cross-functional teams to support analytics and operational data needs.
• Support infrastructure automation and enforce cloud best practices.

Required Skills

• 7–10 years of professional engineering experience.
• 3+ years of strong hands-on coding in Java or Python.
• 3+ years of AWS experience, including S3, Lambda, and Glue.
• Hands-on experience with Apache Spark for distributed data processing.
• Proven track record building and maintaining end-to-end data pipelines.
• Experience with logging, monitoring, and production support.

Preferred Skills

• Experience with Terraform for Infrastructure as Code.
• Familiarity with Informatica, Snowflake, or other ETL tools.
• Background in large-scale or industrial data environments.

Key Skills

Education

Bachelor's degree