Engineer (azure Data Analytics)

Year    India, India

Job Description


Vestas is the world leader in wind technology and a driving force in the development of the wind power industry. Vestas\' core business comprises the development, manufacture, sale, marketing, and maintenance of Wind Turbines. Come and join us at Vestas! Product Solutions & Integration Loads & Control LaC Quality Vestas Power Solutions is the cornerstone of Vestas. Through innovation, development and continuous product improvement we develop the products and technologies that reduce the cost of energy and bring the highest possible value to our customers and to Vestas. To put it short: Vestas Power Solutions develops the wind power systems of the future. As a part of Vestas Power Solutions, the Product Solutions & Integration is responsible for designing the product architecture and product roadmap in response to market roadmap requirements, translate product architecture and roadmap into module requirements, and full Value Chain Integration. Loads and Control (LaC), as part of Product Solutions & Integration, is responsible for designing and optimizing the product for load and control strategy together with cross product design work. The department consists of highly skilled, international, well experienced engineers who are taking accountability for all aspects of the LaC solution delivered to the Products which are placed across 3 design locations: Portugal, Denmark and India. LaC Simulation Tools department is responsible for strategizing, developing, releasing, improving and supporting users of LaC Tools. In the control tools group, we are responsible for the automation tooling that supports both the development of new controller functions and the tuning of new turbine variants. This entails scripting and programming of tools that interfaces all parts of the code base, from the data model over the controller implementation in Simulink to the creation of the target binaries. Responsibilities Design and Develop data pipelines and transformations Design and Maintain focused data models to support data organizations Develop and Maintain our current toolchains Contribute and Design CI/CD, improve the review process and code quality Qualifications PhD\'s / Master\'s / Bachelor\'s in Engineering specialization 2 to 4years experience of relevant experience in multicultural and international organizations Experience in advanced data analytics & Azure Experience with software development and automation processes Good exposure to SAFe and Agile methodology Competencies Skilled working experience in Cloud-based data tools is mandatory - e.g. Azure Datalake / Databricks / Data factory / Synapse / Analysis Services / LogicApp, etc Exposure in Programming language like in Python/ SQL / Perl, etc Efficient working experience in database tools like SQL Server, Azure Storage is mandatory Working knowledge in Python programming and willing to work in any programming Work structured, systematic and have consistent attention to detail, which enables you to meet deadlines Support the team on best practices What We offer We offer an opportunity to be part of a world class team in an exciting business with a very comprehensive product range. The working environment in Loads & Control is informal but with clear direction. You will be part of a project-oriented organization with very competent colleagues in an inspiring work environment. You will be offered an attractive compensation package based on your qualifications and the demands of this position. Additional Information Your primary workplace will be Vestas India, Chennai. Please note: We do amend or withdraw our jobs and reserve the right to do so at any time, including prior to the advertised closing date. Please be advised to apply on or before 31st July 2023.

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Job Detail

  • Job Id
    JD3109542
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    India, India
  • Education
    Not mentioned
  • Experience
    Year