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CDO Chief Digital Office
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About Nokia


At Nokia we create the technology to connect the world. Developing and delivering the industry's only end-to-end portfolio of network equipment, software, services and licensing that is available globally. Through our research teams, including the world-renowned Nokia Bell Labs, Nokia is leading the world to adopt end-to-end 5G networks that are faster, more secure and capable of revolutionizing lives, economies and societies. Nokia adheres to the highest ethical business standards as we create technology with social purpose, quality and integrity. A truly global company, we are 160 nationalities working in more than 100 countries.

 
About Nokia IT

 
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.

 

 
Job Description:
 

We are looking for Interested candidates for Data Engineers to not only help us build data pipelines to efficiently and reliably move data across systems but also to build the next generation of data tools to enable us to take full advantage of this data. In this role, you will learn and work with the company's products, data consumers and analysts. 

 

Key Responsibilities / Functions:  

  • Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
  • Have experience with "full-stack" (ETL-> Production/iteration) and experience apply data insights in the industry.
  • Working experience with Tableau, Kibana, Graphene, Matplotlib, Jupyter, or similar data visualization tools.
  • Understanding of dimensional modeling concepts and database design/architecture or experience with feature engineering both at model build and in production
  • Extensive experience using Python/Java including a strong grasp of object-oriented programming (OOP) fundamentals
  • Extensive experience analyzing data using SQL 

Required Minimum Qualifications: (Education, Technical Skills/Knowledge) 

  • 2+ years of Python or Java development experience
  • 2+ years of SQL experience (NoSQL experience is a plus)
  • 2+ years of experience with schema design and dimensional data modeling
  • Ability in managing and communicating data warehouse plans to internal clients
  • 3+ years of relevant experience such as implementing statistical analysis, developing cloud-based data-lake / data warehouses, managing data science projects, developing APIs, developing machine learning models, creating advanced data visualizations.
  • Good communication and writing skills to facilitate productive collaboration with other team members and business units;
  • Strong knowledge of project management principles and concepts;
  • Experience solving problems with an emphasis on product development
  • Experience with predictive modeling and dissemination of research results;

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. 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. 



 


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Nokia is an equal opportunity employer that is committed to diversity and inclusion. 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.