
IT Data Analytics Analyst
Full Job Description
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.
Company
Vertiv
Vertiv is a global leader in critical infrastructure technologies. As a subsidiary of Vertiv, Liebert Corporation, headquartered in Columbus, Ohio, specializes in manufacturing power, precision coolin...