Description

You will engineer and maintain the core data platform infrastructure, building scalable data lake solutions on AWS.

This role is on-site.

Responsibilities

• Design and implement data platform components using AWS Step Functions, Glue, S3, Lake Formation, Iceberg, and Athena.
• Develop and maintain ETL and batch processing frameworks for large-scale data ingestion and transformation.
• Write clean, efficient Python code to support platform services and automation.
• Build and maintain CI/CD pipelines using GitHub Actions or similar tools.
• Optimize cloud infrastructure for performance and cost using cloud-native architecture best practices.

Required Skills

• 5-8 years of experience in software development, focusing on backend or platform engineering.
• Proven experience with AWS data services and data lake architectures.
• Strong programming skills in Python.
• Hands-on experience with GitHub CI/CD and infrastructure-as-code.
• Demonstrated ability to optimize cloud infrastructure for scalability, performance, and cost-efficiency.
• Experience with ETL processes.
• Familiarity with platform engineering concepts.

Preferred Skills

• Experience with Databricks or similar unified analytics platforms.
• Exposure to data platform architecture or a platform architect role.

Key Skills

Education

Any Gradute