General Electric Staff Data & Information Architect in Budapest, Hungary
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.
This is a highly technical role where you will be responsible for architecting, developing and maintaining a data archival platform as part of the ERP Initiatives & Strategy group's Data COE. Your work will be critical to accelerate ERP and technology simplification across GE. You will also serve as a subject matter expert on data archival and data management best practices. You will help drive GE’s data archival strategy and align it with the continuously changing technology landscape.
Responsibilities will include but not be limited to the following:
Design, develop and maintain a large-scale data archival, data ingestion, storage and analytic solution
Design and deliver scalable and reliable SaaS and DaaS applications
Enhance existing products and processes to improve productivity and to reduce cost
Develop automated, repeatable and reliable systems
Provide technical leadership and best practices for data management to a broad range of stakeholders within GE
Simultaneously work on multiple, fast-paced projects as a technical expert or internal consultant.
Participates in the data domain technical and business discussions relative to future architect direction.
Researches and evaluates emerging data technology, industry and market trends to assist in project development and/or operational support activities.
Coaches and mentors team members.
Partners with vendors, platform and business teams to validate and deliver new products.
Bachelor's Degree in Computer Science, Information Management or other technical / IT field, OR equivalent relevant IT work experience
Very strong experience with design and implementation of enterprise data integration technologies such as Talend
Stron experience with relational databases
Vast experience with Java or similar programming language
Experience working on an enterprise data warehousing solution
Proven experience with scripting on Unix/Linux environment
Hands-on development experience with Big Data technologies such as Pivotal, Hadoop, MapReduce, and PostgreSQL
Delivers results when working on shorter-term (weeks-months), outcome-focused service engagements
Leverages knowledge about competitors, trends, and changing regulations across the broad environment to bring new ideas to the team
Expert in Talend configuration, administration, design, and development
Experience with Web server and application server administration and troubleshooting
Experience working with cloud services such as AWS and Azure
Experience working with ERP applications such as Oracle EBS and SAP
Experience working with BI solutions such as Business Objects, Spotfire, Tableau and QlikView.
Experience working with data archival products and technologies
Experience working with document management tools and technologies
Experience with agile and lean methodologies for product development
Strong analytical skills - strong problem solving skills, communicates in a clear and succinct manner and effectively evaluates information to make decisions; anticipates obstacles and develops plans to resolve
Strong team player - collaborates well with others to solve problems and actively incorporates input from various sources
Resourceful and quick learner; able to efficiently seek out, learn, and apply new areas of expertise as needed
Highly self-motivated, able to work independently
Experience in working within a shared service environment
Locations: Hungary; Budapest
GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www1.eeoc.gov/employers/upload/eeocselfprint_poster.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.