Why This Role Stands Out
Leverage your extensive Snowflake and cloud data expertise in this hybrid role at Pebal Bright Technologies, where you'll design and optimize scalable data solutions. This opportunity is perfect for experienced data engineers who thrive on building robust data pipelines and modern data models, offering significant career growth within a reputable company. Apply today to contribute to innovative data projects and advance your skills in a flexible work environment.
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
New York, NY, United States
Posted
3 weeks ago
SQLAWSETLSnowflakeAirflowApacheTerraformVaultdbt
Job Description
Snowflake Data Engineer
Location: New York City, NY – Hybrid
Experience:8+ Years
Location Requirement: Local NYC candidates preferred/required
Job Summary
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**.
Key Responsibilities
- 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.
Required Skills:
- 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.
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