Data Engineer - Cloud/AI

Vertiv Group Corporation; Westerville (OH); On-site; USD 110,000 - 150,000; Full time

Job summary

Vertiv Group Corporation in Westerville, OH is seeking a Data Engineer - Cloud/Gen AI to design, build, and maintain scalable data pipelines and architectures. You will collaborate with data scientists, analysts, and product teams to ensure data is accurate, accessible, and ready for analysis.

The role requires a Bachelor’s in CS/Engineering/Math and at least five years in data engineering, with expertise in Spark, Hadoop, Redshift, Python, and Airflow.

Qualifications

• 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
• Experience with Cloud using AWS/Azure/GCP; Generative AI and advanced data architectures; testing frameworks; reporting/visualization for data sets; batch and real-time streaming ingestion; certifications in data engineering.

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.

Skills

Python

SQL

Airflow

Spark/PySpark

Hadoop

AWS Glue

ETL

Data Warehousing

Cloud (AWS/Azure/GCP)

Communication

Education

Bachelor’s Degree in Computer Science, Engineering, Mathematics, or related field

Tools

Apache Spark

Hadoop

AWS Glue

Airflow

Luigi

Redshift

Job description

Job Summary

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.

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.

Requirements

• 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

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