GE is the worlds 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.
GE Energy Connections designs and deploys industry-leading technologies that turn the world on. We transport, convert, automate and optimize energy to ensure we provide safe, efficient and reliable electrical power. Uniting all the resources and scale of the worlds first digital industrial company, we connect brilliant machines, grids, and systems to power utility, oil & gas, marine, mining and renewables customers, that keep our world running. www. GEEnergyConnections. com.
Industrial Solutions, part of GE Energy Connections, empowers smarter business operations by connecting equipment, software and services to protect, control and optimize assets within electrical infrastructures. The business provides customers, across various industries, with end-to-end product and service solutions that help ensure the reliability and protection of their electrical infrastructure. Industrial Solutions product and service solutions add to GEs broader portfolio of leading technology solutions for the delivery, management, conversion and optimization of electrical power for customers across multiple energy-intensive industries. To learn more, please visit: www. GEIndustrial. com.
GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www. ge. com/sites/default/files/15-000 845%20EEO%20combined. 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.
As Senior Data Engineer, you will be responsible for the current and future state architecture and strategy of Big data engineering solutions. The individual will bring in thought leadership in specifying technical solutions and leading and delivering change while providing support & expertise in Business Intelligence & Analytics tools.
As the Senior Data Engineer, you will:
+ Provide technical thought leadership on High Level Architecture and Design, data modeling, Big Data strategy & adoption for Analytics Applications
+ Own the integrated ELT strategy and architecture for structured and unstructured data spanning multiple business units and identify downstream implications of data loads / migration
+ Deep understanding of data warehousing principles and processes including data modeling, logical and physical database design, transformation and loading
+ Design, profile, develop, and test data engineering solutions using multiple ETL / MDM tools that move data from disparate source / target systems and the enterprise information repositories
+ Demonstrate proficiency with data modeling concepts and tools (e. g. , ERWin, ER Studio, etc. ) to model and implement data access layers for reporting, data discovery, metadata management, and data services
+ Maintain data architectural artifacts and ensures that all measures for data quality, data profiling, data governance, ITIL, security and compliance of data are adhered to
+ Perform variety of in-depth data analysis, data modeling, and data design tasks on complicated datasets with potentially complex data integration scenarios
+ Proficient in SQL and ETL processes, ETL and DB performance tuning, table partitioning, shell scripting
+ Work with Product Owners, and Business SME to identify requirements and drive ingestions standards consistent with business processes
+ Exhibit strong knowledge of business processes and integrate domain data knowledge into development of data requirements
+ Participate in vendor customer advisory boards and steers direction of visualization platforms to meet GE needs
+ Interact with executive management in the architecture and use of visualization platforms
+ Bachelor's Degree from accredited university or college in Business, Information Systems, Information Technology (IT) or Computer Science
+ Minimum of 5 years of experience as a technology leader designing and developing data modeling with a minimum of 3 of those years specializing in big data architecture or data analytics
+ Minimum of 5 years of experience & extensive knowledge of SQL and using data visualization tools (Tableau, Qlikview, Business Objects or similar technologies)
Please Note: Preferred location is Atlanta, GA, will consider Cary, NC
+ Strong expertise in working with SAP ERP & SAP BW data (Sales & Distribution, Production planning, Material management, FICO)
+ Deep understanding of Big data technologies, RDBMS, Data Integration (ETL, EAI), Data Replication, Data and Process modeling in an Oracle / Greenplum / Hadoop Big Data environment
+ Demonstrated expertise with tools like HVR, Talend, Informatica, big data, streaming, IOT, flat file, JSON, API, and many other data sources
+ Extensive knowledge of data preparation, data governance & data catalog tools (Alteryx, Colibra, Alation etc. )
+ Ability to see the big picture with a demonstration of strong business acumen
+ Ensure all assigned projects or changes follow the appropriate process / methodology and remain within Change governance
+ Keep up to date on Business Intelligence / Analytics toolsets & trends
+ Demonstrated skill in the use of analytic software tools or languages (e. g. Python, R, SAS)
+ PMP or Scrum certified
+ Demonstrated skill in