What are the responsibilities and job description for the Data Engineer CloudGen AI position at Manifest Solutions?
Manifest Solutions is currently seeking a Data Engineer - Cloud / Gen AI for an onsite position in Westerville, OH.
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
Keep a pulse on the job market with advanced job matching technology.
If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution.
Compensation Planning
Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right.
Surveys & Data Sets
What is the career path for a Data Engineer CloudGen AI?
Sign up to receive alerts about other jobs on the Data Engineer CloudGen AI career path by checking the boxes next to the positions that interest you.