Job Details
Location:
Cincinnati, Hamilton County, Ohio, USA
Cincinnati, Hamilton County, Ohio, USA
Posted:
Oct 12, 2019
Job Description
Role Summary:
The Data Engineering and Analytics team helps solve our customers toughest challenges; making flights safer, power cheaper, and oil & gas production safer for people and the environment by leveraging data and analytics. The Sr. Staff Data Engineer will be responsible for the creation of Published Datasets (best use datasets for business domains) in partnership with the business.
Essential Responsibilities:
The Sr. Staff Data Engineer will be part of the Self-Service Data team in the Chief Data Officer Organization (CDOO). This team focuses on driving Digital Transformation by enabling teams and individuals across the organization to use Published Data Sets. To do this, the Published Data Services(PDS) team enables the creation of clean, defined, organized data with governance known as Published data sets. As a Sr. Staff Data Engineer in PDS you will work across a broad set of users and business cases to drive multiple outcomes and enhance the Digital capabilities of the organization through the creation of Published Datasets. To meet these responsibilities the Sr. Data Engineer should have the below competencies:
- Deep experience with data engineering
- Deep experience with SQL
- Knowledge of Greenplum/Postgres databases
- Knowledge of data lake concepts
- Knowledge of Python
- Knowledge of data visualization
- Familiar with Data science concepts
- Able to partner with the business and data subject matter experts to understand a data domain
- Approachable and able/willing to answer questions from users with a wide variety of backgrounds
Qualifications/Requirements:
- Bachelor’s Degree in Computer Science or in “STEM” Majors (Science, Technology,Engineering and Math)
- Minimum of 8 years of professional experience in Data engineering
Desired Characteristics:
- Demonstrated experience in the role's technical competencies
- Demonstrated ability to work well with others from many different backgrounds and skill levels
- Demonstrated experience working effectively business users, data analysts and data scientists
- Understanding of of Greenplum, SQL and relational databases
- Knowledge of Hortonworks/Hive databases
- Knowledge of Spark
Knowledge of data science/statistics
Knowledge of machine learning concepts
About Us:
At GE Aviation, we are imagination at work. Whether we’re manufacturing components for our GEnx engines or driving innovation in fuel and noise reduction, the GE Aviation teams are dedicated to turning imaginative ideas into advances in aviation that solve some of the world’s toughest problems. Join us and you’ll find yourself in a dynamic environment where our ongoing, substantial investment in research and development keeps us moving forward and looking ahead. At GE, developing people is embedded in our culture and integral to our growth. Here you’ll work collaboratively and across functions with the highest caliber talent, utilizing cutting-edge technology and processes. Whether it’s the next generation of ecomagination products or the future of aircraft engines, we’ve got the state-of-the-art resources to make those innovations a reality. If you’re passionate about aviation and looking for a career rich with challenges and unlimited opportunities for growth and advancement, then join GE in reengineering the sky through aviation innovations that will impact the globe for generations to come. #LI-AG1
GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an
Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law.
Additional Eligibility Qualifications:
GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Additional Locations:
United States;Ohio;Cincinnati;