1 month ago
Dayton, OH, USASenior
Responsibilities
- Build technical data dictionaries and support business glossaries.
- Perform data profiling and analysis across source systems, manually maintained data, machine-generated data, and target repositories.
- Build logical and physical data models for OLTP and OLAP solutions.
- Develop and maintain data mapping specifications from data analysis and functional requirements.
- Perform data loads and transformations using multiple tools and technologies.
- Build automated ETL jobs and maintain metadata structures for reusable ETL components.
- Analyze reference datasets and become familiar with Master Data Management tools.
- Analyze downstream system and product impacts and recommend solutions from deep-dive data analysis.
- Design and build data quality rules.
- Identify automation opportunities, including appropriate use of artificial intelligence tools, to improve efficiency.
Requirements
- Bachelor’s degree and at least 2 years of professional experience, or an associate degree and at least 5 years of professional experience, or a high school diploma and at least 7 years of professional experience.
- Military experience may be used as equivalent professional experience.
- Legal authorization to work in the U.S. is required, and employment visa sponsorship is not available now or in the future.
- Exposure to data modeling tools such as ERWin and ER Studio.
- Exposure to ETL tools such as Informatica or Talend.
- Exposure to data catalog, automated data discovery, and data lineage tools such as Alation, Collibra, and TAMR.
- Hands-on experience with Java, Python, or Scala and SQL scripts for Oracle, MySQL, PostgreSQL, or HiveQL.
- Experience with Big Data, Hadoop, Spark, Hive, NoSQL database engines, Cassandra, or HBase.
- Ability to handle unstructured datasets and XML and JSON formats.
- Ability to conduct exploratory data analysis, generate visual data summaries, and proactively identify data quality issues.
- Ability to meet U.S. person requirements for access to U.S. export-controlled information.
Benefits
- GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation.
- Relocation assistance is not provided.
- Employment offers may be conditioned on successful completion of a drug screen, and employees may be subject to random and reasonable-suspicion drug and alcohol testing.
Tech Stack
Apache CassandraApache HadoopApache HBaseApache HiveApache SparkInformaticaJavaMySQLPostgreSQLPythonScalaSQLTalend
Categories
Data Engineering
About GE
GE is a public industrial company that designs and sells aircraft engines, power generation equipment, and related software and services to airlines, utilities, and governments. Following its restructuring, it operates through GE Aerospace and GE Vernova. Founded in 1892 and headquartered in Boston, it trades on the NYSE as GE and serves global aviation and energy markets.