Senior Data Engineer: ETL, Data Modeling & Automation

Y99000 General Electric Company; Dayton (OH); On-site; USD 90,000 - 130,000; Full time

Job summary

GE Aerospace in Dayton, OH is seeking a data engineer to design, develop, test, and implement data engineering processes for analytics and reporting. You will analyze data for data science outcomes and manage metadata structures, providing post-deployment support as needed.

Responsibilities include building data dictionaries, data profiling, data modeling for OLTP/OLAP, and developing ETL jobs. Strong SQL and programming skills are essential, along with experience in big data technologies and

Qualifications

• Bachelor's degree or higher with professional experience in data engineering.
• Experience with ETL tools and data modeling.
• Proficiency in SQL and programming languages (Java/Python/Scala).
• Exposure to Big Data technologies and data governance tools.

Responsibilities

• Design and implement data engineering processes for analytics and reporting.
• Analyze data for data science outcomes and prepare datasets.
• Manage metadata structures and support post-deployment activities.
• Identify automation opportunities using AI tools to improve efficiency and reduce manual work.
• Deliver timely results using agile methodologies.

Skills

Java

Python

Scala

SQL

Data analysis

Exploratory data analysis

Education

Bachelor's degree

Associates degree with 5 years experience

High School Diploma with 7 years experience

Tools

ERWin

ER Studio

Informatica

Talend

Alation

Collibra

TAMR

Hadoop

Spark

Hive

NoSQL (Cassandra/HBase)

Job description

GE Aerospace in Dayton, OH is seeking a data engineer to design, develop, test, and implement data engineering processes for analytics and reporting. You will analyze data for data science outcomes and manage metadata structures, providing post-deployment support as needed.

Responsibilities include building data dictionaries, data profiling, data modeling for OLTP/OLAP, and developing ETL jobs. Strong SQL and programming skills are essential, along with experience in big data technologies and