Lead Emerging Technology Engineer at GE Aerospace focusing on technology maturation for aerospace applications. Support new product introductions and legacy cost - out needs by developing advanced manufacturing processes.
About the role
- Data Engineer on the Enterprise Data & Analytics team exploring technologies and applying data sciences/machine learning to maximize data value from assets.
Responsibilities
- You will be part of Enterprise Data & Analytics team responsible for identifying analytical needs, exploring new technologies, and applying data sciences/machine learning concepts to maximize value from data assets.
- Data Engineer will work closely with key stakeholders both IT and Business to turn data into critical information and knowledge that can be used to make sound business decisions.
- Organize, lead, and facilitate multiple teams on highly complex, cross-functional, enterprise data and analytics initiatives.
- Develop and maintain scalable data pipelines and build out new integrations to support continuing increases in demand for various types of data.
- Collaborate with key stakeholders to define KPI and build data metrics to measure KPI’s.
- Partner with business in data analysis (small and big) and demonstrate good judgment in solving problems as well as proactively identifying and resolving data issues.
- Explores enterprise data and discovers patterns, meaningful relationships, anomalies and trends to generate actionable insights.
Requirements
- Must possess strong subject matter expertise in at least two domains of Sales, Marketing, Install Base, Finance, and Customer Support areas.
- Demonstrated ability to have completed multiple, complex technical projects.
- Data modelling experience in Enterprise Data Warehouse, DataMart and ETL tools like IICS, Snowflake(Snowtasks).
- Hands-on experience in SQL, SSL, RESTful APIs, and other related standards.
- Hands-on emphasis with a proven track record of building and evaluating data pipes, and delivering systems for final production.
- Prefer having working knowledge in any reporting tools like PBI (DAX, security, model creation), Tableau.
- Experience with various data systems like Oracle Data Warehouse, Snowflake.
- Strong understanding devops, on-premise, and cloud deployments - AWS, Google, Azure.
- Strong written and verbal communication skills.
- Excellent problem solving and troubleshooting skills.
Benefits
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Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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