Description

You will design and implement distributed data systems and end-to-end data pipelines.

Responsibilities

• Design and implement end-to-end data pipelines and ETL/ELT processes.
• Build and manage cloud-native data warehouses using Snowflake.
• Architect distributed data systems while managing non-functional requirements and technical trade-offs.
• Optimize data latency and throughput using caching technologies.
• Perform database design, data modeling, and performance tuning.

Required Skills

• 10+ years of experience in data engineering, solution architecture, or technical leadership.
• Expertise in AWS data services including Glue, Athena, S3, and Lambda.
• Proven experience building data warehouses with Snowflake.
• Deep understanding of architectural patterns for distributed data systems.
• Hands-on experience with ETL/ELT processes.
• Proficiency in database design and data modeling.
• Experience with caching technologies like Redis or Memcached.
• Ability to manage performance tuning and system latency.

Preferred Skills

• Experience in the Wealth Management or Billing domains.

Key Skills

Education

Any Gradute