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# Snowflake Data Engineer

- **Company:** PEBAL BRIGHT TECHNOLOGIES LLC
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Query Performance, Airflow, Amazon Web Services, Amazon S3, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Vault Modeling, Data Warehousing, DevOps, Dimensional Modeling, Performance Tuning, Standard Sql, SQL Databases, Data Processing, Freeform SQL, Cloud Platform System, Delivery Pipeline, Snowflake, Infrastructure Automation Frameworks, Data Management, Terraform, Data Pipelines
- **Published:** August 19, 2026
- **Apply:** https://www.dice.com/job-detail/e79458e2-6700-479f-9e28-5687607843e8

## About the Role

* 8+ years** of experience in Data Engineering.
 * Strong hands-on experience with **Snowflake**.
 * Advanced **SQL** skills and query performance tuning.
 * Experience with **dbt** and **Apache Airflow**.
 * Strong AWS experience with **S3, Glue, and Lambda**.
 * Expertise in **Dimensional Data Modeling and/or Data Vault**.
 * Hands-on experience with **Snowpipe, Streams & Tasks**.
 * Experience with **CI/CD** pipelines and DevOps practices.
 * Experience with **Terraform**.
 * Strong understanding of **Data Warehousing concepts and architecture**.
 * Excellent problem-solving and communication skills.

## Description

We are seeking an experienced **Snowflake Data Engineer** with 8+ years of hands-on experience in data engineering, data warehousing, and cloud-based data platforms. The ideal candidate will have strong expertise in **Snowflake, SQL, dbt, Airflow, AWS, and modern data modelling techniques**., * Design, develop, and maintain scalable data pipelines and data warehouse solutions using **Snowflake**.

 * Develop complex SQL queries and perform **performance tuning and optimization**.
 * Build and maintain ELT/ETL workflows using **dbt and Apache Airflow**.
 * Implement AWS-based data solutions using **S3, Glue, and Lambda**.
 * Design data models using **Dimensional Modeling and Data Vault** methodologies.
 * Develop and manage **Snowpipe, Streams, and Tasks** for automated and incremental data processing.
 * Implement CI/CD practices for data engineering and deployment workflows.
 * Use **Terraform** for infrastructure provisioning and automation.
 * Ensure data quality, reliability, scalability, and security across data platforms.
 * Collaborate with architects, developers, analysts, and business stakeholders to deliver data solutions.


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