Description

You will design, build, and maintain scalable, distributed data pipelines and ETL processes. You own the end-to-end lifecycle, including testing, monitoring, and maintenance.

Responsibilities

• Design and deploy resilient distributed data pipelines using AWS services and Snowflake.
• Write complex, optimized SQL queries to process extensive data volumes.
• Manage Data Warehouse and Data Lake environments, ensuring data integrity and performance.
• Implement data solutions leveraging AWS infrastructure for large-scale processing.
• Maintain and monitor existing systems to ensure high availability and reliability.

Required Skills

• 5+ years of experience in data engineering or backend development.
• Proficiency in Python for large-scale data processing.
• Advanced SQL skills with a focus on complex query optimization.
• Hands-on AWS experience with S3, Glue, Lambda, and EC2.
• Proven track record of at least two full AWS implementations.
• Experience with Snowflake and big data technologies.
• Working knowledge of RDBMS and OLAP databases.

Preferred Skills

• Expertise in architecting scalable, resilient distributed systems.

Key Skills

Education

Any Graduate