Job Description Summary

Job Description

Company Overview

GE Aerospace (NYSE: GE) is a global leader in aerospace propulsion, services, and integrated systems. Currently, it has approximately 44,000 in-service commercial aircraft engines worldwide. With a century-long history of innovation and profound industry expertise, GE Aerospace is committed to inventing the future of flight, lifting people up, and bringing them home safely.

Site Overview

For 45 years in China, GE Aerospace has committed to developing and investing in China’s aviation industry with reliable, efficient, sustainable, and outstanding products and services. GE Aerospace and its joint venture CFM have served more than 60 airline customers in the Greater China Region, with over 7700 engines in service and nearly 5000 engines on order. We are devoted to the market’s quality growth propelled by technological innovation and digitalization. Together with our partners, we are shaping a sustainable future of flight that helps the industry reach its carbon-neutral goal for the benefit of us all tomorrow.

Role Overview

Responsible for developing, testing and implementing data engineering solutions to generate analytical and reporting solutions. Responsible for analyzing and preparing the data needed for data science based outcomes. Also responsible for managing and maintaining metadata data structures besides providing necessary support for post-deployment related activities when needed.

The Ideal Candidate

In this role, you will:

- Leverage technical data dictionaries and business glossaries to analyze the datasets

- Perform data profiling and data analysis for any source systems and the target data repositories

- Understand metadata and the underlying data structures needed to standardize the data load processes.

- Develop data mapping specifications based on the results of data analysis and functional requirements

- Perform a variety of data loads & data transformations using multiple tools and technologies.

- Build automated Extract, Transform & Load (ETL) jobs based on data mapping specifications

- Validate the data mapping results and match with the expected results

- Implement Data Quality (DQ) rules provided

Required Qualifications

Bachelor's Degree in with basic experience.

Preferred Qualifications

- Ability to understand logical and physical data models, big data storage architecture, data modeling methodologies, metadata management, master data management & data lineage techniques

- Hands-on experience in programming languages like Java, Python or Scala

- Hands-on experience in writing SQL scripts for Oracle, MySQL, PostgreSQL or Hive

- Experience in handling both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) data models

- Experience with Big Data / Hadoop / Spark / Hive / NoSQL database engines (i.e. Cassandra or HBase)

- Exposure to unstructured datasets and ability to handle XML, JSON file formats

- Exposure to Extract, Transform & Load (ETL) tools like Informatica or Talend

Domain Expertise:

- Exposure to handling machine or sensor datasets from industrial businesses

- Knowledge of for industrial applications in a commercial/finance/industrial/manufacturing settings.

- Exposure to finance and accounting data domains

Leadership skills:

- Partner with other team members to understand the project objectives and resolve technical issues.

- Communicate project status or challenges in a clear and concise manner to the cross team members.

At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.

Additional Information

Relocation Assistance Provided: No