About Us: GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry.
Role Summary: The Data Engineering team helps solve our customers' toughest challenges; making flights safer for people and the environment by leveraging data and analytics. The Sr Data Engineer will work with the team to create state-of-the-art data and analytics platforms, working across GE Aviation to drive business analytics to a new level of predictive analytics while leveraging big data tools and technologies.
Essential Responsibilities: The Sr Data Engineer, they will be part of a data engineering or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. The candidate should, • Be Proficient in at least one data modality (e.g., text, numeric, image), conversant in more than one. Proficient in multiple ETL /MDM tools. • Implement Data warehouse & Big/Small data designs with automated MDM and data quality capabilities. • Demonstrate proficiency at industry standard data modeling tools (e.g., ERWin, ER Studio, etc.). • Integrate domain data knowledge into development of data requirements. • Look across multiple systems, understands the purpose of each system and defines data requirements by systems. • Identify downstream implications of data loads/migration (e.g., data quality, regulatory, etc).
Qualifications/Requirements: • Bachelor's Degree in Computer Science, Information Technology or equivalent (STEM) with minimum 5 years of experience as data engineer. • A minimum of 2 year of experience using Hadoop ecosystem, Spark, Map-Reduce, NoSQL (HBase, MongoDB etc.), Cassandra is required • A minimum of 2 year of experience using Scripting (Python, Shell, Perl, Pig, etc.) is required • A minimum of 1 year of experience working on Database(s), SQL is required • Exposure to Kafka, Storm, PySpark, Java, Microservices will be a plus #DTR
Desired Characteristics: • Database experience including basic db design and SQL queries • Ability to leverage data assets to respond to complex questions that require timely answers • Basic level knowledge in area of modeling expertise (e.g., data, physics, or domain driven). Aware of basic forms of modeling and how they apply to different types of data (e.g., text, voice, image, survival, time dependent, etc.) • Conducts exploratory data analysis and generates visual summaries of data. Identifies data quality issues. • Works effectively with multi-disciplinary teams (e.g., UX, GE Business teams) and understands the interconnections between them • Effective team building and problem-solving abilities • Strong communication and interpersonal skills
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