Data Engineer - Cloud/AI
Indexed description
This position will be based onsite at Vertiv's Westerville, OH - HQ location.
Responsibilities
- 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
- Customer Focus
- Operational Excellence
- High-Performance Culture
- Innovation
- Financial Strength
- Own It
- Act With Urgency
- Foster a Customer-First Mindset
- Think Big and Execute
- Lead by Example
- Drive Continuous Improvement
- Learn and Seek Out Development
Work Authorization
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.
Equal Opportunity Employer
Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to [email protected].
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