IT Data Analytics Analyst

Role: Data Engineering & Integration Engineer

We are seeking a hands-on Data Engineering & Integration Engineer to build scalable, high-performance data platforms on Snowflake and AWS. This role involves designing robust pipelines, integrating diverse data sources, and enabling analytics and AI-driven use cases through reliable, production-grade data systems.

Responsibilities:

• Design, build, and optimize ETL/ELT pipelines using Snowflake and AWS.
• Integrate data from APIs, files, logs, and streaming sources.
• Develop advanced SQL, stored procedures, and Snowflake tasks.
• Optimize Snowflake performance, including query tuning, clustering, and cost optimization.
• Implement secure, scalable cloud architectures on AWS.
• Collaborate with stakeholders to translate business needs into effective data solutions.
• Perform exploratory data analysis and support analytics/reporting use cases.
• Build and maintain CI/CD pipelines for data workflows.
• Automate testing, deployment, and monitoring of data pipelines.
• Leverage Snowflake Cortex and AI capabilities.

Required Skills:

• Strong experience with Snowflake Data Cloud.
• Advanced SQL and strong Python programming skills.
• Hands-on experience with AWS.
• Expertise in building scalable ETL/ELT pipelines.
• Solid understanding of data modeling and warehousing principles.
• Experience with CI/CD and DevOps practices.

Nice to Have:

• Experience with AI/ML pipelines and vector databases.
• Familiarity with data quality, governance, and observability frameworks.
• Vibe coding proficiency.

This is a permanent position. Please note that Vertiv will only employ individuals legally authorized to work in the United States. Sponsorship for work authorization is not provided for this role.