Data engineer

Family Description

Analytics (AN) covers the promoting of data science to demystify big data and unlock new business potentials from complex data sources. This covers a huge scope: from classical data gathering and business intelligence, through designing and implementing machine learning, all the way to architecting systems that automate data gathering, analytics, and integrating their outcome into other applications. Determines the foundation for data driven and fact based decision making. Provides the tools and intelligence to formulate strategies and future business development plans.

Subfamily Description

Analytics Data Architecture & Quality (ADA) comprises the design, architecture, and development of scalable data models, test and maintain systems and processes to collect, transform, store, and enable analysis of structured and unstructured data, taking into account considerations related to privacy, security, reliability, and scalability. Contains curation of data and ensures data quality and integrity. Covers creation and maintenance of a data dictionary of all key sources and tables. Comprises documentation of key stakeholders and dependencies as well as the gathering, clarification, and translation of business and data requirements into documentations and conceptual designs from which technical solutions are developed. Contains advising of clients on appropriate data governance capabilities.

 

• Design, develop, and deploy modular cloud-based systems
• Develop and maintain cloud solutions in accordance with best practices
• Ensure efficient functioning of data storage and process functions in accordance with company security policies and best practices in cloud security
• Identify, analyze, and resolve infrastructure vulnerabilities and application deployment issues
• Regularly review existing systems and make recommendations for improvements
• Interact with clients, provide cloud support, and make recommendations based on client needs
• Understanding and translating the business needs using data analytics to assess processes, determine requirements and deliver data-driven recommendations and reports to executives and stakeholders.
• Identifying and then prioritizing technical and functional requirements
• Drive automation of data collection in close cooperation with business stakeholders. Proactively leading and proposing improvement actions for continuous improvement (CI) of the data collection relate processes.
  Work on designing data models for innovative data visualization and predictive analytics solutions to drive proactive decision making.
• Handle various and complex (and simple) data sources and turn them into normalized database solutions.
• Design, implement visualisation in Power Platforms (Pbi etc)
• Analyse new use cases and design solution templates and prepare proposals for process improvements. Clean and transform data with use of T-SQL
• Design, implement and test ETL processes for the centralized data repository.
• Independently work and/or drive data exploration and analytics projects through various SC units.
• Act as an expert in data engineering subject for SCM through knowledge sharing and active collaboration in the performance reporting and analytics community.
   

Impact

Impact is short-term and usually departmental/project in scope. Accountable for quality, accuracy and efficiency of own and/or team achievements. Actions and errors can have program, project, functional impact.

Scope & Contribution

Individual Contributor: Performs and/or coordinates day-to-day activities to meet departmental/project objectives. Carries out root/cause analysis in more complex problems. Can develop and implement recommendations. Managerial/Supervisory: Direct supervisory responsibilities for people. Typically first level (and lowest level) of solid line management. Carries out variety of complex activities according to plan within broader area of responsibility, analyses problems. Decision-making typically according to established solutions.

Innovation

Accepts responsibility for and demonstrates support for delegated decisions. Requires minimum supervision. Uses non standard approaches to resolving issues. Suggests improvements and seeks opportunities for innovation. Demonstrates initiative & adaptability to changing business environments. Is willing to take on new roles or jobs appropriate to skill set in different environments and/or locations.

Communication

Works to influence others to accept job function’s view/practices and agree/accept new concepts, practices, and approaches. Requires ability to communicate with functional leadership regarding team & technical matters. May conduct briefings with senior leaders within the job function. May at times be required to negotiate regarding operational issues.Has cross-cultural knowledge and global mindset

Knowledge & Experience

5+ years’ experience with 2-3 years relevant data engineering background

• Master or Bachelor’s degree in Engineering, Telecommunications, Computer Science, Software Technology or equivalent education
• 2 or more years of building and administering Infrastructure As a Service using a cloud provider like AWS, Azure, Heroku or GCP.
• Experience in designing developing and maintaining cloud-based systems, ensuring efficient data storage and adherence to security policies
• Postgres and MSSQL knowledge is preferred
• Experience working in one of the command line interfaces like Powershell, Linux, Git environment
• Working knowledge is needed in Python 
• Knowledge of stream processing (Kafka Streams, Spark Streaming)
• Workflow Frameworks (Apache Airflow, NiFi, Jenkins, Kubeflow
• Good experience with Azure IaaS and PaaS
• Experience with Network transport protocols in practice
• Demonstrable analytics experience including ability to synthesize and present intelligence derived from data

Come create the technology that helps the world act together

Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work

What we offer
 
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.

Nokia is committed to inclusion and is an equal opportunity employer

Nokia has received the following recognitions for its commitment to inclusion & equality:

• One of the World’s Most Ethical Companies by Ethisphere
• Gender-Equality Index by Bloomberg
• Workplace Pride Global Benchmark

At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s 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.
We are committed to a culture of inclusion built upon our core value of respect.

Join us and be part of a company where you will feel included and empowered to succeed.