Sr Staff Data Engineer

General Electric; West Chester Township (OH); On-site; USD 80,000 - 110,000; Full time

Job summary

An established industry player is seeking a talented Data Engineer to optimize and expand data architecture solutions. This role involves collaborating with data analysts, solution architects, and product managers to deliver comprehensive data solutions. You will manage data pipelines, ensure data quality, and lead initiatives to standardize data models. The ideal candidate will have a strong background in data engineering, ETL processes, and big data technologies. Join a forward-thinking company that values innovation and offers a dynamic work environment with opportunities for professional growth and development.

Benefits

Relocation Assistance

Professional Development

Competitive Compensation

Qualifications

• Bachelor's degree with 5+ years of experience or equivalent qualifications.
• Strong expertise in data engineering and ETL processes.

Responsibilities

• Manage data architecture and engineering solutions across multiple projects.
• Lead data profiling and analysis for various data sources.

Skills

Data Engineering

Data Architecture

Data Modeling

ETL Processes

Big Data Technologies

SQL

Java

Python

Scala

Data Analysis

Education

Bachelor's degree

Associates degree

High School Diploma

Tools

Informatica

Talend

ERWin

ER Studio

Alation

Collibra

TAMR

Hadoop

Spark

Cassandra

Job description

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

1. Handle multiple projects across multiple data domains in the Cost as a Technology team
2. Provide thought leadership on data architecture and design, data modeling principles & Big Data strategy in the product cost data space.
3. Develop and maintain an integrated data architecture spanning the relational and non-relational data landscape.
4. Manage Extract, Transform & Load (ETL) framework and maintaining the quality and timeliness of the data ingestion and transformation jobs.
5. Drive reusability and ensure extensibility of overall data architecture
6. Manage technical data dictionaries and support business glossaries
7. Lead data profiling and data analysis for source systems, manually maintained data, machine or sensor generated data, and target data repositories
8. Design & validate both logical and physical data models for both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) solutions
9. Standardize automated Extract, Transform & Load (ETL) jobs based on data mapping specifications
10. Define metadata structures needed for building reusable Extract, Transform & Load (ETL) components.
11. Design common data structures for handling reference datasets and Master Data Management (MDM) datasets.
12. Streamline data feeds to downstream systems/products and recommend alternatives to minimize the impact.
13. Lead the efforts to build Data Quality (DQ) rules.

Education Qualification

1. Bachelor’s 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
2. Minimum 5 years of professional experience in data engineering.
3. 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:

1. Experience in Massively Parallel Processing (MPP) databases, In-memory data processing engines, Big Data ecosystem tools and technologies
2. Familiarity with cloud platform technologies like CloudFoundry
3. Strong expertise in data modeling tools (e.g., ERWin, ER Studio, etc.).
4. Strong expertise in Extract, Transform & Load (ETL) tools like Informatica or Talend
5. Expertise in data catalog, automated data discovery, and data lineage tools (e.g., Alation, Collibra, TAMR, etc.)
6. Hands-on experience in programming languages like Java, Python, or Scala
7. Hands-on experience in writing SQL scripts for Oracle, MySQL, PostgreSQL, or HiveQL
8. Experience with Big Data / Hadoop / Spark / Hive / NoSQL database engines (i.e., Cassandra or HBase)
9. Exposure to unstructured datasets and ability to handle XML, JSON file formats
10. Conducts exploratory, descriptive, predictive data analysis and generate visual summaries of data. Identify data quality issues proactively.

Domain Expertise:

1. Exposure to handling machine or sensor datasets from industrial businesses
2. Knowledge of industrial applications in a commercial/finance/industrial/manufacturing setting.
3. Exposure to finance and accounting data domains

Leadership Skills:

1. Strong influencing and executive communication skills
2. Demonstrates ability to lead and work in a matrix organization structure
3. Highly self-motivated, able to work independently and accommodate multiple time zones

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 (https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf). 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: Yes