Data Engineer

Job Description

Nokia is a global leader in the technologies that connect people and things. With state-of-the-art software, hardware and services for any type of network, Nokia is uniquely positioned to help communication service providers, governments, and large enterprises deliver on the promise of 5G, the Cloud and the Internet of Things. Serving customers in over 100 countries, our research scientists and engineers continue to invent and accelerate new technologies that will increasingly transform the way people and things communicate and connect.At Nokia IT, we envision to materially improve Nokia s business performance and enhance the ways in which our customers and employees engage and collaborate. We have the ambition to deliver an extraordinary customer/user experience and strong financial and operating performance to Nokia shareholders. To reach this ambition, we are transforming into a modern, product-oriented technology organization that executes with urgency, precision and an extreme customer service focus.Position Description: The Business Intelligence Team is part of the Enterprise Chief Data Office organization inside Nokia Strategy & Technology Digital Office. We support the business with our expertise in BI and Data Engineering, by creating and maintaining Data Platforms and BI Solutions that support decision making and provide essential information for business operations.In this position, you will be responsible for developing and managing the next generation analytic environments to support Nokia Business. The Business Intelligence Team is looking for proactive members who will have a key role in its development and support. This is a hands-on technical role using state-of-art Microsoft Azure Services in a dynamic agile environment, working directly with business and data owners, architects, developers, and test engineersResponsibilities:
• Creation of Azure Data Factory Data Pipelines and Data Modeling
• Responsible for building and maintaining the business intelligent solutions from requirements, architecture, design, code development, through production deployment and post-deployment stability and demands
• Responsible to effectively prioritize and execute tasks in global environment, with proven analytical, evaluative, and problem-solving abilities
Qualifications: (Technical Skills, Knowledge, Education & Experience)
• 5+ years of combined experience of advanced data analytic driven projects in Azure platforms
• Expertise with Azure Data services: Data Factory, Azure SQL, Logic App
• Expertise in data modeling, designing and maintenance with a proven SQL knowledge
• Expertise in data access configuration related to privacy and security requirements
• Experience working within a distributed team, following an Agile methodology with a DevOps approach using GIT or TFS
• Experience with Azure DevOps usage at various levels, including Boards and code maintenance and deployment
• Good to have experience in creating Power BI reports and dashboards with solid knowledge of M and DAX
• Good to have knowledge Analysis Services, Synapse and Databricks
• Good to have knowledge in C#
• Solid knowledge of Python is a big plus, especially in the context of PySpark
• Great communicator and requirement translation with Business owners needs
Imagine creating technology that has the potential to change the world. Working with us, you will have a positive impact on people s lives and help to overcome some of the world s most pressing challenges. Nokia is an equal opportunity employer that is committed to diversity and inclusion. We act inclusively and respect the uniqueness of people. At Nokia, employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. Nokia culture welcomes people as their true selves. Come create the technology to connect the world. Additional Information,

Keyskills :
sqljavadata warehousinginformaticapythonpower bidata modelingdata analyticsmicrosoft azureproblem solvingcustomer servicedata engineeringagile methodologyanalysis servicesservice providerscommercial modelsagile environmentbusiness intelli