Python Job: Data Engineer

Job added on

Company

NOKIA

Location

Amadora - Portugal

Job type

Full-Time

Python Job Details

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.


The team you'll be part of

As Nokia's growth engine, we create value for communication service providers and enterprise customers by leading the transition to cloud-native software and as-a-service delivery models. Our inclusive team of dreamers, doers and disruptors push the limits from impossible to possible.

Candidate will be part of Data Engineering Team with focus on Data Acquisition. Candidate will works in both innovation activities in Data Egineering Competence Center and in productization Squads for the realizaiton of the Ingestion and Curation parts of developed Use Cases.


What you will learn and contribute to
As part of our team, you will:

  • Research, Design, Plans and Develop Cloud-based Data Acquisition and Data Engineering solutions for developed Use Cases
  • Designing functionality and solution data pipelines as a data engineer developer and data architect
  • Developing data pipelines using NIFI, Airflow and Azure Data Factory best practices
  • Develop data transformation functions in Python, Spark , Java
  • Design and develop for cloud services, following design for cost and security best practices
  • Design data pipeline test cases, Conducting performance test
  • Troubleshoot and resolve technical problems in timely and accurate manner to improve application performance and functionality

Your skills and experience

  • BA or MSE in Computer Science and at least 5 years experience in Data Engineering
  • He / She should have strong competences in the following areas:
  • Software Programming Languages (SQL, Scala, PySpark, Python, Java)
  • Analytics Engine (Spark, DataBricks, Azure Synapse)
  • Orchestration Tools (Kubernetes, Docker, HDInsight, Apache Airflow)
  • Data Storage Tools (Elastic Cluster on Kubernetes, PostgreSQL, Elasticsearch, , Redis)
  • CI/CD Tools (Gitlab, Artifactory, Jira, Confluence)
  • Data Collection / Transformation Tools (NiFi, Kafka, Azure EventHub, Azure Functions, Azure Data Factory)
  • Azure Platform (Compute component, Containers component, Networking component, Storage component, Analytics component, Azure Data Explorer (ADX), Azure tools CLI)
  • Agile and continuous Delivery and methodologies
  • Cloud Security and Architecture

Nice to have skills:

  • Competences in AWS and GCP cloud technologies
  • DevOps

What we offer

Nokia offers flexible and hybrid working schemes, 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
  • LGBT+ equality & best place to work by HRC Foundation

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.


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