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# Sr. Snowflake Developer

- **Company:** Staffxpert Llc
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $41,600.0 - $145,600.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Unit Testing, Big Data, Cloud Database, Computer Programming, Databases, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Migration, Data Warehousing, Relational Databases, Web Development, Dimensional Modeling, Amazon DynamoDB, Python (Programming Language), PostgreSQL, Microsoft SQL Server, MongoDB, MySQL, NoSQL, Oracle (Applications), Performance Tuning, Query Optimization, SQL Databases, Snowflake, Apache Spark, Integration Tests, Cassandra, Star Schema, Data Pipelines
- **Published:** July 8, 2026
- **Apply:** https://www.careerjet.com/jobad/us29518993722da6dff768a224d567bf4e

## About the Role

* 6 10+ years of Data Engineering / ETL / Data Warehouse experience.
 * Minimum 3+ years of hands-on experience with Snowflake Data Warehouse., * 6+ years of Data Engineering/ETL experience.
 * 3+ years of hands-on Snowflake (SnowSQL, SnowPipe, Architecture).
 * Strong Python and SQL.
 * ETL/Data Integration & Data Warehousing.
 * Star/Snowflake Schema & Dimensional Modeling.
 * Spark performance tuning.
 * Relational & NoSQL databases.
 * Cloud data pipelines.
 * Performance tuning & troubleshooting.
 * Good communication and client-facing skills.

Mandatory Skills (Must Have)
Snowflake

 * 2+ years of hands-on experience with Snowflake Data Warehouse.
 * Strong experience in Snowflake architecture and solution design.
 * SnowSQL.
 * SnowPipe.
 * Snowflake security, roles, warehouses, stages, tasks, streams.
 * Snowflake performance tuning and query optimization.
 * Snowflake integration with external systems.

Programming

 * Python (mandatory).
 * Advanced SQL.

Data Engineering

 * Data Integration.
 * ETL/ELT Development.
 * Data Pipeline development and automation.
 * Cloud-based data pipelines.
 * Data migration into Snowflake.

## Description

* Spark.
 * Spark job optimization.
 * Big Data technologies.

Data Modeling

 * Star Schema.
 * Snowflake Schema.
 * Dimensional Modeling.
 * Relational Database Design.
 * NoSQL Databases.

Databases

 * Strong experience with Relational Databases (Oracle, SQL Server, PostgreSQL, MySQL, etc.).
 * Experience with NoSQL databases (MongoDB, Cassandra, DynamoDB, etc.).

Architecture

 * Data Warehouse Architecture.
 * Solution Design.
 * Technical Architecture.
 * Technical Documentation.
 * Functional Specifications.

Testing & Support

 * Unit Testing.
 * Integration Testing.
 * Troubleshooting production issues.
 * Performance tuning.
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