Sr Snowflake Data Engineer with Python---W2 Role

Note: This opening requires a Python Glider assessment as part of the process

This role will help build out the data platform foundation and then deliver business use cases through an iterative, Agile wave-based approach. Each delivery wave will extend reusable platform capabilities while moving prioritized Trading Risk data use cases from design through production. Success will be demonstrated through a production-ready data platform with standardized architecture, security, governance, data quality, CI/CD, and operational practices that can efficiently onboard additional use cases and teams.

The Snowflake Data Engineer will:

• Build automated and manual data ingestion pipelines into Snowflake.
• Implement transformations and mappings across the ingestion layers.
• Develop reusable data transformation components and UDFs.
• Support architectural decisions related to connectivity, platform configuration, and workload design.
• Optimize pipelines and Snowflake workloads for performance, reliability, and cost.
• Deliver prioritized use cases through iterative Design, Build, Business Testing, Operational Testing, and Production cycles.
• Support UAT, production readiness, deployment, rollback, recovery, and business continuity procedures.
• Help establish reusable platform capabilities so that subsequent use cases can be delivered more efficiently.

Must Have:

• Hands-on experience with Snowflake, including data modeling, performance optimization, access controls, and scalable warehouse/lakehouse patterns.
• Functional understanding of transactional data systems, such as a Trading or ERP system.
• Working knowledge of AWS services such as S3, Glue, Lambda, Athena, EMR, Redshift, and cloud-based data architectures.