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GE Aerospace

Staff Data Engineer

Posted 9 Days Ago
Remote
Senior level
Remote
Senior level
Manage data engineering processes and architecture to support analytics and reporting, ensuring data health and quality across systems.
The summary above was generated by AI

Job Description SummaryResponsible for managing critical data engineering processes and architecture to enable analytics and reporting solutions. Duties include analyzing and preparing data for data science outcomes, managing metadata structures, and supporting post-deployment activities. Accountable for timely delivery using agile methodologies. Supports Bill of Characteristics initiatives and QMS (Quality Management Systems) Modernization strategy, ensuring data health and monitoring quality data elements.This role will support the Bill of Characteristics HK initiative and QMS Modernization long-term strategic activities. This individual will be responsible for data health and monitoring of Quality data elements.

Job Description

Roles and Responsibilities

In this role, you will:

- Be responsible for identifying solutions for complex data analysis and data structure.

- Be responsible for creating digital thread requirements

- Be responsible for change management of database artifacts to support next gen QMS applications

- Be responsible for monitoring data availability and data health of complex systems

- Understand industry trends and stay up to date on associated Quality and tech landscape.

- Design & build technical data dictionaries and support business glossaries to analyze the datasets

- This role may also work on other Quality team digital and strategic deliveries that support the business.

- Perform data profiling and data analysis for source systems, manually maintained data, machine or sensor generated data and target data repositories

- Design & build both logical and physical data models for both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) solutions

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

- Build a variety of data loading & data transformation methods using multiple tools and technologies.

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

- Manage metadata structures needed for building reusable Extract, Transform & Load (ETL) components.

- Analyze reference datasets and familiarize with Master Data Management (MDM) tools.

- Analyze the impact of changes to downstream systems/products and recommend alternatives to minimize the impact.

- Derive solutions and make recommendations from deep dive data analysis proactively.

- Design and build Data Quality (DQ) rules.

- Drives design and implementation of the roadmap.

- Design and develop complex code in multiple languages.

- This role may also work on other Quality team digital and strategic deliveries that support the business.

Education Qualification

Bachelor’s degree from accredited university or college with minimum of 4 years of professional experience OR Associates degree with minimum of 7 years of professional experience OR High School Diploma with minimum of 9 years of professional experience

Note: Military experience is equivalent to professional experience

Required Qualification:

Hands-on experience in programming languages like Java, Python or Scala and experience in writing SQL scripts for Oracle, MySQL, PostgreSQL or HiveQL

Desired Characteristics Technical Expertise:

- Exposure to industry standard data modeling tools (e.g., ERWin, ER Studio, etc.).

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

- Exposure to industry standard data catalog, automated data discovery and data lineage tools (e.g., Alation, Collibra, etc., )

- 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

- Conduct exploratory data analysis and generate visual summaries of data. Identify data quality issues proactively.

- Developing reusable code pipelines through CI/CD.

- Hands-on experience of big data or MPP databases.

- Developing and executing integrated test plans.

This role requires access to U.S. export-controlled information. Therefore, for applicants who are not asylees, refugees, lawful permanent residents or U.S. Citizens (i.e., not a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3), otherwise known as a U.S. Person), final offers will be contingent on the ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government.

Additional Information

GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace 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.

GE Aerospace 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).

Relocation Assistance Provided: No

#LI-Remote - This is a remote position

Top Skills

Alation
Cassandra
Collibra
Er Studio
Erwin
Hadoop
Hbase
Hive
Hiveql
Informatica
Java
JSON
MySQL
NoSQL
Oracle
Postgres
Python
Scala
Spark
SQL
Talend
XML

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