Senior Snowflake Data Engineer – Azure ETL & Airflow Expert

Quantum Technologies. LLC

Atlanta (GA)

On-site

USD 77,000 - 110,000

Full time

2 hours ago
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Job summary

Quantum Technologies. LLC is seeking a Senior Snowflake Data Engineer in Atlanta to design, develop, and maintain enterprise-level data solutions using Snowflake.

Must have 8+ years in data engineering and 5+ years on Snowflake, with strong SQL and Python development. Responsibilities include building data warehouses, ETL/ELT workflows with Snowflake and Azure Data Factory, and orchestrating data pipelines via Airflow or Informatica.

Qualifications

  • 8+ years of experience in Data Engineering and enterprise data solutions.
  • 5+ years of hands-on experience with Snowflake.
  • Strong expertise in SQL and advanced SQL analytical functions.
  • Snowflake Data Warehouse design and development.
  • SQL Query Performance Tuning and Optimization.
  • Azure Data Factory (ADF) and Azure Data Services.
  • Workflow orchestration using Apache Airflow, Informatica, or Atomic.
  • Metadata Management and Data Lineage.
  • Git, Jira, and Confluence.
  • Strong debugging, troubleshooting, and problem-solving skills.

Responsibilities

  • Design, develop, and maintain scalable enterprise data solutions using Snowflake.
  • Build and optimize data warehouses, data models, and data pipelines.
  • Develop complex SQL queries, stored procedures, and analytical functions.
  • Write Python scripts for data processing, transformation, and automation.Design and implement ETL/ELT workflows using Snowflake and Azure Data Factory.
  • Develop and manage data orchestration workflows using Airflow, Informatica, or Atomic.
  • Analyze and optimize SQL queries to improve performance and reduce processing time.
  • Work with Snowflake architecture, including databases, schemas, warehouses, stages, and data loading.
  • Implement data integration and transformation processes across multiple source systems.
  • Maintain metadata, data lineage, and data governance standards.
  • Use Git for source control and collaborate through Jira and Confluence.
  • Troubleshoot data pipeline failures, performance issues, and data quality problems.
  • Collaborate with cross-functional teams to deliver reliable and high-quality data solutions.

Skills

SQL
Python
Data modeling
Data governance
Problem solving

Tools

Snowflake
Azure Data Factory
Airflow
Informatica
Atomic
Git
Jira
Confluence

Job description

Quantum Technologies. LLC is seeking a Senior Snowflake Data Engineer in Atlanta to design, develop, and maintain enterprise-level data solutions using Snowflake.

Must have 8+ years in data engineering and 5+ years on Snowflake, with strong SQL and Python development. Responsibilities include building data warehouses, ETL/ELT workflows with Snowflake and Azure Data Factory, and orchestrating data pipelines via Airflow or Informatica.

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