Software Engineer for data acquisition
hace 2 semanas
Data Acquisition of production data from different wind farms and other renewable assets.Todos los posibles candidatos deben leer con atención los siguientes detalles de este trabajo antes de presentar una candidatura.Execute IT and SCADA projects for all Wind OEMs.Managing, improving and organizing enterprise data.Combine raw information from different sources to create consistent and machine-readable datasets.Translate requirements and designs into functional data pipelines while ensuring the continued quality and completeness of the information.Implementing methods to improve data reliability, quality, data visibility and reduce effort through automationContribute to a team of data engineers through design, demand delivery, code reviews and release management.Position QualificationsRequirements:Bachelor's/Tech School degree in Computer Science, Information Systems, Engineering or equivalent and/or commensurate years of real-world experience in software engineering.4+ years of relevant experience in data management3+ years in data engineering with detailed knowledge of data warehouse technical architectures, infrastructure components.What we offer:Medical SchemeLife InsurancePension Plan40 hours per week with a Flexible Schedule (2 days per week home office).23 annual holidays (minimum for Spain)Reimburse cost for English language trainingAdditional days to the obligatory ones in case of maternity/paternity and other circumstancesOthers:Be part of a world-renowned and growing organization with origins dating back to 1864.We’re offering a challenging, varied, and responsible job in a dynamic and international environment.Work with some of the most engaging and competent colleagues in the industry.Company & Business Area DescriptionDNV is the independent expert in assurance and risk management, operating in more than 100 countries. Through our broad experience and deep expertise we advance safety and sustainable performance, set industry benchmarks, and inspire and invent solutions.We provide assurance to the entire energy value chain through our advisory, monitoring, verification, and certification services. As the world's leading resource of independent energy experts and technical advisors, we help industries and governments to navigate the many complex, interrelated transitions taking place globally and regionally, in the energy industry. We are committed to realizing the goals of the Paris Agreement, and support all stakeholders to transition faster to a deeply decarbonized energy system.Equal Opportunity StatementDNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversityAbout the companyDNV GL is an international accredited registrar and classification society headquartered in Høvik, Norway.NoticeTalentify is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.Talentify provides reasonable accommodations to qualified applicants with disabilities, including disabled veterans. Request assistance at or 4 Federal law requires every new hire to complete Form I-9 and present proof of identity and U.S. work eligibility. xsgfvud An Automated Employment Decision Tool (AEDT) will score your job-related skills and responses. Bias-audit & data-use details: . NYC applicants may request an alternative process or accommodation at or 4 #J-18808-Ljbffr
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Software Engineer for data acquisition
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madrid, España DNV GL A tiempo completoData Acquisition of production data from different wind farms and other renewable assets. Execute IT and SCADA projects for all Wind OEMs. Managing, improving and organizing enterprise data. Combine raw information from different sources to create consistent and machine-readable datasets. Translate requirements and designs into functional data pipelines...
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