Data Engineer Senior
3 semanas atrás
Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future? If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match. The Position As Data Engineer in the Transport Solutions team, you will be part of the Data, Analytics & AI organization which is an integral part in driving the transformation of the Volvo Group into a data driven culture. Here you will be creating and managing environments for Advanced Analytics, Machine Learning and AI to deliver value in the form of data-centric services to both our colleagues in Connected Solutions and across the Group. You will be part of a Product Team and will work in close collaboration with the development team, Product Owners, User Experience designers, Front and Back-End Developers, Business Analysts and also Data Analysts and Scientists of other teams. You will facilitate data exploration and advanced analytics activities by pre-processing, cleaning and structuring data which will be used for various dashboards and AI models in operation. We are a team that work together for continuous improvement, whereas you will be part in driving advancements in data acquisition, testing, tooling, automating system installation and configuration to enhance data quality. You may be involved in performing analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. As part of the Transport Solutions team, you will be contributing to the roadmap and providing runtime support for services, using AI-enabled metadata management tools and modern data preparation and integration techniques. Your Profile In this role, you will bring: You are graduated with a degree in Computer Science, Data Engineering, Statistics, Informatics, Information Systems or any related field. Data & Engineering has been your world for at least 3 - 5 years. AWS Cloud platform expertise (preferentially Serverless tools). Experience in implementation in data pipeline and workflow management tools. You have an advanced experience working with: Python, SQL, relational and no-relational databases. You are also proficient in manipulating, processing, extracting and analyzing value from large, disconnected and/or unstructured datasets. Data analysis experience to design robust data pipelines and translate complex datasets into actionable business insights.Ideally, you are familiar with one of the Visualization tools (Power BI, BO, Qlik). Experience on Databricks and Machine Learning implementation. You are comfortable working in a diverse, complex and fast-changing landscape of data sources You care about agile software processes, data-driven development, reliability, and responsible experimentation. Capacity to work in an international environment using English. Team player - having a sharing and collaborative mindset. Enjoy problem-solving, have an analytical mindset, and enjoy working in a structured way with space to innovate. Takes ownership at work. Agile - flexibility to execute available tasks in a rapidly changing environment. What we can offer you You will be part of a team that creates great results through awesome people, strong relationships, and a high-performance culture. We want to set a new standard for user experience, speed to market and customer value. We will do this through modern leadership, people in focus and a true passion to really make a difference. We who work in this team have a lot of fun, are great collaborators and we all consider ourselves as leaders of our work and owners of our results. You get an opportunity to work together with highly skilled colleagues in an exciting, global environment which provides a great opportunity to develop both professionally and personally. You will work in close collaboration with our customers and deliver cutting edge solutions and services which drive their profitability and growth. If you want to be part of our exiting journey and awesome team, we have an opportunity right here We are now looking for a Data Engineer within VGCS Latin America, Transport Solutions. This selection process will be conducted with the support of Manu Mourão Consulting At Volvo do Brasil, we value the candidate experience and collaborate with approved partners to ensure a professional selection process aligned with our values. We reaffirm our commitment to protecting the personal data of all participants, in full compliance with the Brazilian General Data Protection Law (LGPD). Our goal is to provide a safe and respectful experience at every stage of the process. We value your data privacy and therefore do not accept applications via mail. Who we are and what we believe in Our focus on Inclusion, Diversity, and Equity allows each of us the opportunity to bring our full authentic self to work and thrive by providing a safe and supportive environment, free of harassment and discrimination. We are committed to removing the barriers to entry, which is why we ask that even if you feel you may not meet every qualification on the job description, please apply and let us decide. Applying to this job offers you the opportunity to join Volvo Group. Every day, across the globe, our trucks, buses, engines, construction equipment, financial services, and solutions make modern life possible. We are almost 100,000 people empowered to shape the future landscape of efficient, safe and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents with sharp minds and passion across the group’s leading brands and entities. At Volvo Group Connected Solutions we drive transportation forward through connectivity. Our services and solutions are the key to a connected and more productive infrastructure, to ensure safer transport and reduced carbon emissions. By leveraging massive amounts of data from our customers connected assets, we are leading the way in a rapidly changing industry. #J-18808-Ljbffr
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