Sr Data Engineer

New York City, NY - USA

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

Key Highlights / Must-Haves

Hands-on experience with PySpark
Experience with Snowflake Cortex AI
Strong knowledge of modern Data Warehousing practices
Recent experience with highly advantageous

Role Summary

Client is seeking a Senior Python and Snowflake Data Engineer to design build and optimize scalable data pipelines implement Snowflake data models and deliver end-to-end data engineering solutions. The role involves collaborating with cross-functional teams to improve data quality performance and secure delivery of data products in complex enterprise environments.

Note: The client has an urgent need and is seeking candidates who can start immediately.

Key Responsibilities

Design build and deploy high-performance data pipelines and backend services
Implement and optimize Snowflake data models and data marts
Deliver end-to-end data engineering solutions including ingestion processing and delivery
Optimize performance scalability and cost of data workflows
Collaborate with cross-functional teams to support complex business requirements
Support front-end applications with where applicable (Preferred)

Required Skills & Expertise

5 years in data engineering or backend development
Strong hands-on experience with Python PySpark and Snowflake
Proven expertise in Snowflake data modeling performance tuning and optimization
Experience with Snowflake Cortex AI or similar AI-enabled data platform capabilities
Solid understanding of modern data warehousing concepts (dimensional modeling ELT/ETL optimization strategies)
Advanced SQL skills for designing scalable data models
Experience delivering cloud-based end-to-end data engineering solutions (AWS Azure GCP)
Working knowledge of for supporting data-driven front-end applications
Strong understanding of distributed data processing frameworks
Knowledge of data security governance and compliance best practices
Proven ability to collaborate effectively in complex enterprise environments

Key Highlights / Must-Haves Hands-on experience with PySpark Experience with Snowflake Cortex AI Strong knowledge of modern Data Warehousing practices Recent experience with highly advantageous Role Summary Client is seeking a Senior Python and Snowflake Data Engineer to design build and ...

Key Highlights / Must-Haves

Hands-on experience with PySpark
Experience with Snowflake Cortex AI
Strong knowledge of modern Data Warehousing practices
Recent experience with highly advantageous

Role Summary

Note: The client has an urgent need and is seeking candidates who can start immediately.

Key Responsibilities

Design build and deploy high-performance data pipelines and backend services
Implement and optimize Snowflake data models and data marts
Deliver end-to-end data engineering solutions including ingestion processing and delivery
Optimize performance scalability and cost of data workflows
Collaborate with cross-functional teams to support complex business requirements
Support front-end applications with where applicable (Preferred)

Required Skills & Expertise

5 years in data engineering or backend development
Strong hands-on experience with Python PySpark and Snowflake
Proven expertise in Snowflake data modeling performance tuning and optimization
Experience with Snowflake Cortex AI or similar AI-enabled data platform capabilities
Solid understanding of modern data warehousing concepts (dimensional modeling ELT/ETL optimization strategies)
Advanced SQL skills for designing scalable data models
Experience delivering cloud-based end-to-end data engineering solutions (AWS Azure GCP)
Working knowledge of for supporting data-driven front-end applications
Strong understanding of distributed data processing frameworks
Knowledge of data security governance and compliance best practices
Proven ability to collaborate effectively in complex enterprise environments