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Specialist - Data Engineering
Job in
Cleveland, Cuyahoga County, Ohio, 44178, USA
Listed on 2026-10-17
Listing for:
LTM
Full Time
position Listed on 2026-10-17
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing
Job Description & How to Apply Below
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.
· Dev Ops 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
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