Sr Data Engineer

GE Aerospace; Dayton (OH); On-site; USD 90,000 - 130,000; Full time

Job summary

GE Aerospace is seeking a data engineer to design, develop, test, and implement data engineering processes that enable analytical and reporting solutions. You will build data dictionaries, profiles, models, and ETL jobs, while maintaining metadata structures and supporting post-deployment activities.

The role emphasizes automation opportunities using AI tools where appropriate and requires agile delivery. Minimum qualifications include a bachelor’s degree with 2+ years of experience (or

Qualifications

• Bachelor's degree in a technical field with 2+ years of experience or equivalent
• Experience with data modeling and ETL concepts
• Experience with data governance and metadata management tools

Responsibilities

• Build data dictionaries and glossaries to analyze datasets
• Perform data profiling for source, warehouse, and target systems
• Create logical and physical data models for OLTP/OLAP
• Develop data mappings from requirements and analyses
• Build ETL jobs and data transformations across tools
• Maintain metadata for reusable ETL components
• Analyze reference datasets and MD M tools
• Assess impact on downstream systems and products
• Propose data quality rules and improvements
• Support post-deployment data work and automation opportunities
• Collaborate using agile methodologies and deliver timely results
• Ensure data security and governance compliance

Skills

Data modeling

Data profiling

SQL

Java/Python/Scala

Data quality

Education

Bachelor's degree in CS/Engineering

Tools

ERWin

Informatica

Talend

Alation

Collibra

TAMR

Hadoop/Spark

Job description

Job Description Summary

Responsible for designing, developing, testing and implementing data engineering processes to generate analytical and reporting solutions.

Responsible for designing, developing, testing and implementing data engineering processes 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.

Expected to actively look for automation opportunities, using artificial intelligence tools where appropriate, to reduce manual work and improve process efficiency. Accountable to deliver results in a timely manner using agile methodologies

Roles and Responsibilities

• Build technical data dictionaries and support business glossaries to analyze the datasets
• Perform data profiling and data analysis for source systems, manually maintained data, machine generated data and target data repositories
• 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
• 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
• Maintain 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 downstream systems and products
• Derive solutions and make recommendations from deep dive data analysis.
• Design and build Data Quality (DQ) rules needed

Minimum Qualification

Bachelor’s degree from accredited university or college with minimum of 2 years of professional experience OR Associates degree with minimum of 5 years of professional experience OR High School Diploma with minimum of 7 years of professional experience

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.

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, TAMR etc., )
• Hands-on experience in programming languages like Java, Python or Scala
• Hands-on 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
• Conduct exploratory data analysis and generate visual summaries of data. Identify data quality issues proactively.

This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)).

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). Employees may also be subject to random and reasonable-suspicion drug and alcohol testing.

Relocation Assistance Provided: No