.Do you want to be part of building Vestas new Design Centre? Vestas Technology & Operations > Research & Development (R&D) > Plant Data Vestas Technology & Operations, a cornerstone of Vestas, is committed to innovation, product development, and continuous improvement. We aim to develop high products and technologies that build down the cost of energy, delivering maximum value to both our customers and Vestas.As a part of Vestas Technology & Operations, the Modelling & Analytics, Plant Data team is responsible for the creation and management of products and services related to Vestas Plant Data Offerings. Our accomplished and diverse team of Data Engineers is focused on designing products that facilitate data collection, processing and storage from thousands of power plants across the world. The team also supports data storage and conducts data analytics on a hybrid data platform setup that supports multiple data applications for our customers.Our overarching mission is to reduce the cost of energy by harnessing the extensive data collected and stored by Vestas from power plants worldwide. Join us in this mission to make a meaningful impact on the future of renewable energy.Responsibilities Potential candidate is expected to be 70% hands on with the data engineering team and engage with the architects and other stakeholders (PM, PO etc) for the remainder. Perform upstream and downstream impact analysis of complex data flows which involved multiple source systems. Contribute actively to design and delivery of migrating data products from legacy to cloud setup. Facilitate key POC's & mentor team data engineers on technical solutions. Facilitate and contribute to formal Code & design reviews. Oversight and contribution to managing operational data products (Level 3 Support). Working with Architects, SME's, business and product stakeholders in identifying data products and workloads in legacy warehouse. Participate and co-own product architecture and drive strategic roadmap for plant data warehouse. Qualifications Master's degree in Electrical and Computer Engineering, Computer Science, Software engineering or related fields are preferences. +7 years of experience in on-prem & cloud data warehousing domain. Formidable command on advanced SQL & ELT design patterns & data flow/ workload performance optimization. We envision that you possess experience in designing, building, and maintaining data products within hybrid environments.Additionally, you should identify with at least one of the following qualifications: Experience in data workload migration from on prem to cloud ETL + Data Warehouse. Experience in Azure services + Snowflake + DBT would be an added advantage. Extensive hands-on data modelling experience in cloud data warehouse and data structures. Experience with SQL server, SSIS & SSAS would be a positive factor
