Job Description Summary
Responsible for expanding and optimizing overall data architecture and data engineering solutions. Will be supporting data analysts solution architects data scientists and product managers to deliver data analytical and reporting solutions. Accountable for managing multiple data domains and delivering wing to wing data solutions that include establishing data pipelines data flows standardizing data models and setting up complex data transformation rules. Will be responsible for managing the solutions released to production through stabilization period.
Job Description
Roles and Responsibilities
- Handle multiple projects across multiple data domains in the Cost as a Technology team
- Provide thought leadership on data architecture and design data modeling principles & Big Data strategy in the product cost data space.
- Develop and maintain an integrated data architecture spanning the relational and nonrelational data landscape.
- Manage Extract Transform & Load (ETL) framework and maintaining the quality and timeliness of the data Ingestion and transformation jobs.
- Drive reusability and ensure extensibility of overall data architecture
- Manage technical data dictionaries and support business glossaries
- Lead data profiling and data analysis for source systems manually maintained data machine or sensor generated data and target data repositories
- Design & validate both logical and physical data models for both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) solutions
- Standardize automated Extract Transform & Load (ETL) jobs based on data mapping specifications
- Define metadata structures needed for building reusable Extract Transform & Load (ETL) components.
- Design common data structures for handling reference datasets and Master Data Management (MDM) datasets.
- Streamline data feeds to downstream systems/products and recommend alternatives to minimize the impact.
- Lead the efforts to build Data Quality (DQ) rules.
Education Qualification
- Bachelors degree from accredited university or college with minimum of 5 years of professional experience OR Associates degree with minimum of 8 years of professional experience OR High School Diploma with minimum of 10 years of professional experience
- Minimum 5 years of professional experience in data engineering.
- Note: Military experience is equivalent to professional experience
Eligibility Requirement:
- 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.
Desired Characteristics
Technical Expertise:
- Experience in Massively Parallel Processing (MPP) databases Inmemory data processing engines Big Data eco system tools and technologies
- Familiarity with cloud platform technologies like CloudFoundry
- Strong expertise in data modeling tools (e.g. ERWin ER Studio etc.).
- Strong expertise in Extract Transform & Load (ETL) tools like Informatica or Talend
- Expertise in data catalog automated data discovery and data lineage tools (e.g. Alation Collibra TAMR etc. )
- Handson experience in programming languages like Java Python or Scala
- Handson experience in writing SQL scripts for Oracle MySQL PostgreSQL or HiveQL
- 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
- Conducts exploratory descriptive predictive data analysis and generate visual summaries of data. Identify data quality issues proactively.
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:
- Strong influencing and executive communication skills
- Demonstrates ability to lead and work in a matrix organization structure
- Highly selfmotivated able to work independently and accommodate multiple time zones
This role requires access to U.S. exportcontrolled 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. exportcontrolled information from the U.S. Government.
Additional Information
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: Yes
Required Experience:
Staff IC