Data Engineer - Cloud/AI

As a Data Engineer - Cloud/Gen AI, you will be responsible for designing, building, and maintaining scalable and robust data pipelines and architectures. You will work in a dynamic environment, using the latest data processing and storage technologies and best practices. You will work with data scientists, analysts, and product teams to ensure data is accurate, consistent, complete, and accessible. Ultimately, you will collaborate with various teams to develop and enhance data solutions that meet the needs of customers and users., * Design, build, and maintain scalable and robust data pipelines and architectures.

• Perform data extraction, cleansing, standardization, and transformation.
• Ensure data is accurate, consistent, and accessible.
• Collaborate with data scientists, analysts, and product teams to deliver data solutions that meet user needs and expectations.
• Troubleshoot and resolve data issues and defects.
• Research new data technologies and tools to enhance skills and improve data quality.

• Bachelor’s Degree in Computer Science, Engineering, Mathematics, or related field.
• At least 5 years of experience in data engineering, data pipeline development, and ETL processes.
• Proficient in one or more data processing and storage technologies, such as Apache Spark/PySpark, Hadoop, or Amazon Redshift.
• Experience with Python for data core modernization and data ingestion.
• Experience with data pipeline frameworks and tools, such as Apache Airflow, Luigi, or AWS Glue
• Experience with data engineering, data warehousing, and ETL processes.
• Strong proficiency in SQL and database design principles

• Excellent communication, creativity, and problem-solving skills * Preferred Requirements:

• Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform (GCP)
• Understanding of emerging technologies (such as Generative AI) and advanced data architectures (i.e.: Multimodal Data Management & Model Design, Data Mesh, Data Fabric, Data Products, etc.)
• Understanding of the benefits of data warehousing, data architecture, data quality processes, data warehousing design and implementation, table structure, fact and dimension tables, logical and physical database design, data modeling, reporting process metadata, and ETL processes
• Experience with testing frameworks and tools, such as PyTest, Unittest, or Selenium
• Experience designing and implementing reporting and visualization for unstructured and structured data sets.
• Experience with batch processing and real-time streaming ingestions.
• Certifications or degrees in data engineering, computer science, or related fields, No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.

The successful candidate will embrace Vertiv’s Core Principles & Behaviors to help execute our Strategic Priorities., Vertiv (NYSE: VRT) brings together hardware, software, analytics and ongoing services to enable its customers’ vital applications to run continuously, perform optimally and grow with their business needs. Vertiv solves the most important challenges facing today’s data centers, communication networks, and commercial and industrial facilities with a portfolio of power, cooling and IT infrastructure solutions and services that extend from the cloud to the edge of the network. Headquartered in Westerville, Ohio, USA, Vertiv employs around 34,000 people and does business in more than 130 countries. Visit Vertiv.com to learn more.