GE is the world’s Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry.
Working for GE Aviation is exciting & challenging. Come see what you are missing! 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, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
The Data Engineering 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.
As Sr Data Engineer you'll work with the team to create state-of-the-art data and analytics driven solutions, working across GE to drive business analytics to a new level of predictive analytics while leveraging big data tools and technologies.
The Sr Data Engineer will be part of a data engineering or cross-disciplinary team on internally and commercially-facing development projects, typically involving large, complex data sets.
These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units.
Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization. The Sr Data Engineer will be responsible for all aspects of data acquisition, data transformation, and analytics scheduling and operationalization to drive high-visibility, cross-division Aviation outcomes.
In addition, the Sr Data Engineer will :
Write complex SQL (100’s of lines) that is able to transform, pivot, and stitch big data sets, both relational and non-relational
Write custom scripts in Python, Java, R or Spark to transform and pivot data
Integrate domain data knowledge into development of data requirements
Look across multiple systems and understand the purpose of each system and define data requirements by system
Identify downstream implications of data loads / migration (e.g., data quality, regulatory, etc.)
Develop automated testing for code deployment
Write data ingestion flows using message queuing
Operationalize and scale data science algorithms to extremely large datasets
Optimize existing data architectures and queries to scale across terabytes of data for visualization or application consumption
Architect and model to-be data structures based on customer requirements
Operate in Agile framework, creating user stories from and tasks from customer requirements to track project progress
Bachelor's Degree in Computer Science, Information Technology or equivalent (STEM) from an accredited university or college with minimum of 3 years of experience as data engineer
A minimum of 1 year of experience using Hadoop ecosystem (HDFS, MapReduce, Hive, Spark)
A minimum of 6 months of experience using Data Analytics languages (R, Python and associated statistical packages)
A minimum of 1 year of experience with data or application development (Java, Scala, etc.) consuming SOAP / REST APIs
A minimum of 2 years of experience using Scripting (Pig, *Nix Shell, Perl, etc.)
A minimum of 2 years of experience working on relational SQL databases (PostgreSQL, Oracle, etc.)
Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job.
Hands-on experience with NoSQL data architectures (Cassandra, MongoDB, HBase, etc.)
Hands-on experience with large-scale, MPP-style data technologies (Greenplum, Teradata, etc.)
Experience with Agile project delivery frameworks
Hands-on experience with streaming data architecture (Spark Streaming, message queues, etc.)
Exposure to and ability to execute analytics packages at scale in Python, R, Spark / MLlib
Familiarity with Hadoop data flow tools (Sqoop, Flume, Nifi, etc.)
Familiarity with Hadoop workflow tools such as Oozie
Experience with enterprise data visualization technologies (Tibco Spotfire, Tableau, etc.)
Experience with Amazon Web Services data technologies (RDS, Kinesis, QuickSight, etc.)
Familiarity with text search and mining technologies (Solr, ElasticSearch, Lucene, etc.)
Excellent written and verbal communication skills, especially with product owners
Self-driven to learn new technology and build technical skill sets
Why join one great company when you can join many? We are more than 280,000 people with jobs that range from biochemist to finance specialist to wind energy engineer. We’re passionate about making life better with new ideas and technologies. We’re diverse, supporting our communities in more than 140 countries. Experience personal growth and competency development as part of the GE team. Around the world, we are helping build the healthcare, transportation and aviation of the new century.
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. 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.
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