Description

You will design and implement scalable data pipelines using AWS Lakehouse architecture.

This role is hybrid.

Responsibilities

• Build and maintain ETL data processing workflows.
• Develop serverless logic and orchestration using AWS Lambda and Step Functions.
• Manage data ingestion and transformation via AWS Glue.
• Implement data querying and analysis patterns using Athena and EMR.
• Apply data engineering best practices to ensure scalable architecture.

Required Skills

• 10+ years of experience in data engineering.
• Proficiency in Python and Spark.
• Hands-on experience with AWS Glue and AWS Lambda.
• Experience with AWS Step Functions and API Gateway.
• Working knowledge of AWS Athena.
• Practical understanding of Lakehouse architecture.
• Expertise in ETL data processing.
• Bachelor's degree or equivalent experience.

Preferred Skills

• AWS Certified Solutions Architect certification.

Key Skills

Education

Any Graduate