Sr Snowflake Data Engineer

New York City, NY - USA

Monthly Salary: Not Disclosed

Experience Required: 7years

Posted on: 3 hours ago

Vacancies: 1 Vacancy

Job Summary

PLEASE NOTE:

It is a 100% on-site position in New York NY.

Job Description

We are seeking a Senior Data Engineer to design build and optimize scalable data solutions that power critical business operations and client initiatives. This role requires deep expertise in SQL Python and enterprise-scale ETL development with strong experience supporting cloud-based data platforms and migration efforts.

Youll collaborate with cross-functional teams to develop high-performing data pipelines ensure data reliability and contribute to engineering best practices across the data ecosystem.

Skill Set:

7 years in Python Pyspark and Snowflake. Proven expertise in data modeling performance tuning optimization AWS and Cortex AI.
Strong experience with ETL tools and processes.
Working knowledge of .

Responsibilities

Design build and maintain scalable data pipelines using Python PySpark and Snowflake.
Develop and optimize Snowflake data models including schema design clustering micro-partitioning strategies and query performance tuning.
Implement AI-enabled data workflows using Snowflake Cortex AI or similar AI/ML-integrated data platforms.
Build robust backend data services and APIs supporting enterprise analytics and application data needs.
Lead end-to-end implementation of data engineering solutions across cloud environments especially AWS.
Develop reusable ELT frameworks and support data ingestion from diverse structured and unstructured sources.
Apply strong SQL expertise to create efficient scalable data transformations and data marts.
Support or collaborate with frontend teams using in data-driven product development.
Work with distributed data processing tools and modern compute frameworks.
Ensure data quality data governance and compliance with enterprise security policies.
Partner with data science analytics architecture and product teams to deliver scalable high-impact data products.
Troubleshoot complex data issues optimize compute costs and drive continuous improvement.

Requirements

Required Qualifications:

7 years of experience in data engineering or backend software development.
Strong hands-on experience with Python PySpark and Snowflake.
Proven expertise in Snowflake performance tuning query optimization and warehousing best practices.
Experience with Snowflake Cortex AI or other AI-enhanced data platform capabilities.
Deep understanding of modern data warehousing concepts including dimensional modeling ELT/ETL patterns and data mart design.
Advanced SQL skills and experience designing scalable production-grade data models.
Experience delivering end-to-end data engineering solutions in cloud environments (AWS preferred).
Working knowledge of for supporting or developing data-driven UI components.
Strong understanding of distributed data processing frameworks (e.g. Spark Snowpark Kafka).
Solid understanding of data governance security and privacy best practices.

Preferred Qualifications:

Experience with Snowpark Streamlit-in-Snowflake or Snowflake Native Apps.
Familiarity with CI/CD for data engineering workloads.
Knowledge of containerization technologies such as Docker or Kubernetes.
Experience supporting AI/ML workloads in production environments.

Required Skills:

Required Qualifications: 7 years of experience in data engineering or backend software development. Strong hands-on experience with Python PySpark and Snowflake. Proven expertise in Snowflake performance tuning query optimization and warehousing best practices. Experience with Snowflake Cortex AI or other AI-enhanced data platform capabilities. Deep understanding of modern data warehousing concepts including dimensional modeling ELT/ETL patterns and data mart design. Advanced SQL skills and experience designing scalable production-grade data models. Experience delivering end-to-end data engineering solutions in cloud environments (AWS preferred). Working knowledge of for supporting or developing data-driven UI components. Strong understanding of distributed data processing frameworks (e.g. Spark Snowpark Kafka). Solid understanding of data governance security and privacy best practices. Preferred Qualifications: Experience with Snowpark Streamlit-in-Snowflake or Snowflake Native Apps. Familiarity with CI/CD for data engineering workloads. Knowledge of containerization technologies such as Docker or Kubernetes. Experience supporting AI/ML workloads in production environments.

Required Education:

7 years of experience in data engineering or backend software development

PLEASE NOTE:It is a 100% on-site position in New York NY.Job DescriptionWe are seeking a Senior Data Engineer to design build and optimize scalable data solutions that power critical business operations and client initiatives. This role requires deep expertise in SQL Python and enterprise-scale ETL ...