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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.\nThis position will be based onsite at Vertiv's Westerville, OH - HQ location.\nResponsibilities:\nDesign, build, and maintain scalable and robust data pipelines and architectures.\nPerform data extraction, cleansing, standardization, and transformation.\nEnsure data is accurate, consistent, and accessible.\nCollaborate with data scientists, analysts, and product teams to deliver data solutions that meet user needs and expectations.\nTroubleshoot and resolve data issues and defects.\nResearch new data technologies and tools to enhance skills and improve data quality.\nRequirements:\nBachelor’s Degree in Computer Science, Engineering, Mathematics, or related field.\nAt least 5 years of experience in data engineering, data pipeline development, and ETL processes.\nProficient in one or more data processing and storage technologies, such as Apache Spark/PySpark, Hadoop, or Amazon Redshift.\nExperience with Python for data core modernization and data ingestion.\nExperience with data pipeline frameworks and tools, such as Apache Airflow, Luigi, or AWS Glue\nExperience with data engineering, data warehousing, and ETL processes.\nStrong proficiency in SQL and database design principles\nExcellent communication, creativity, and problem-solving skills\n Preferred Requirements:Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform (GCP)\nUnderstanding 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.)\nUnderstanding 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\nExperience with testing frameworks and tools, such as PyTest, Unittest, or Selenium\nExperience designing and implementing reporting and visualization for unstructured and structured data sets.\nExperience with batch processing and real-time streaming ingestions.\nCertifications or degrees in data engineering, computer science, or related fields","description_format":"text","description_chars":2739,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Servers & Data Center Hardware","Power Supplies & Power Electronics","HVAC & Refrigeration"],"lifecycle":[{"event":"open","at":"2026-09-18T15:29:14Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings 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