Snowflake Data Engineer
PEBAL BRIGHT TECHNOLOGIES LLC
New York, NY, United States
16 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
Tech stack
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
+12 more
Performance Tuning
Standard Sql
SQL Databases
Data Processing
Freeform SQL
Cloud Platform System
Delivery Pipeline
Snowflake
Infrastructure Automation Frameworks
Data Management
Terraform
Data Pipelines
Job 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.
Requirements
- 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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