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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