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L

Specialist - Data Engineering

LTM
  • 🇺🇸 United States
  • On-site
  • Staff / Principal
  • 1 week ago
  • Snowflake
  • AI/ML
  • Azure Data Factory
  • SQL
  • Devops
  • Azure SQL
  • CI/CD
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Job Summary

We are seeking a Senior Snowflake Developer with at least 6 years of experience to design, develop, and optimize secure, scalable data solutions. The ideal candidate will have hands-on expertise in Snowflake, Snowflake data products, COCO, Snowflake AI/ML, Azure Data Factory, Azure Data Lake Storage Gen2, SQL, and DevOps practices, with the ability to lead development independently.

Key Responsibilities

·Snowflake solution development: Design, develop, and implement secure, scalable Snowflake data solutions with a focus on performance, reliability, and efficient resource utilization.

·Data pipelines and integration: Build, configure, and manage Azure Data Factory pipelines for data ingestion, transformation, and loading across Azure SQL Database, Azure Data Lake Storage Gen2, and Snowflake.

·Data migration and environment management: Support data transformation and migration initiatives, including production-to-lower-environment Snowflake refreshes, while maintaining data accuracy and operational efficiency.

·SQL and performance optimization: Develop and tune complex SQL queries, monitor platform performance, and optimize workloads and resource consumption.

·Data quality and monitoring: Implement data-quality checks, operational monitoring, and appropriate metrics to identify issues and maintain reliable data processing.

·DevOps and automation: Automate data pipelines and code deployments using CI/CD tools, troubleshoot issues within the data-operations environment, and support dependable releases.

·Collaboration and independent delivery: Work with data architects, analysts, and other team members to translate requirements into effective solutions while independently driving development activities.

·Troubleshooting: Diagnose and resolve issues across Snowflake solutions, data pipelines, and integration processes.

·Documentation: Maintain clear documentation for architectures, data designs, pipelines, processes, and operational procedures to support maintainability and knowledge sharing.

Mandatory Skills

·Snowflake

·Snowflake AI/ML

·Snowflake Data Science

Specialist - Data Engineering · LTM

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