Software Engineer (Portugal)
Teralytics
Lisbon, Portugal
há 1 dia

Software Engineering Job Description

About Teralytics

The better we understand the way humans move around the planet, the better we can build cities, mobility services and transportation systems to meet our needs.

Rapid urbanization is challenging today’s cities and our environment. Ride-sharing is changing our streets. Self-driving cars and the Internet of Things are a reality today.

The way we travel within and between cities is evolving. To keep up with the pace of change, it is vital for cities, transportation operators, car manufacturers and ride-sharing companies to gain comprehensive knowledge on how we move.

Teralytics offers the most advanced insights on human mobility based on cutting edge data science, proprietary machine learning algorithms and deep technology, capturing billions of signals every day from cell towers and other unique sources.

  • Teralytics works with leading telecom companies and data partners around the globe to capture information about people’s geographical locations, movement habits and demographics;
  • all completely anonymized and aggregated. We believe in unlocking the power of data to change the cities we live in, solve real-world business problems, enhance people’s lives, and ultimately benefit the world.

    We offer our employees unique learning opportunities and the chance to work with technologies such as Scala, Spark and Kubernetes.

    Your Role

    We are searching for a smart and passionate software engineer to join our team of Software Engineers in Portugal.

    You will be working with a team of Solution Architects, Software Engineers and Data Scientists, developing solutions providing mobility insights to large transportation operators and transport consultancies.

    Your work will help our customers improve how millions of people travel every day.

    The solutions will leverage state-of-the-art technologies including (but not limited to) Apache Spark, Scala and Kubernetes

    Your responsibilities will include :

  • Driving the software architecture, design, development, testing, deployment, and running of our data analytics platform that currently processes more than 100 billion events every day
  • Developing Scala / Spark pipelines and APIs, operating on terabytes of location-based data across several geographies
  • Designing and developing both bare-metal and cloud-based solutions, leveraging state-of-the-art technologies, tools and methodologies
  • Working together with a multi-disciplinary team of Software Engineers and Data Scientists
  • Your profile

    You are a passionate software engineer with a keen interest in functional programming, automation and are excited to learn and apply the latest techniques in location analytics.

    Qualifications :

  • Bachelor's degree or equivalent practical experience
  • Coding experience in Scala and / or Python
  • Good written and spoken English language
  • Preferred experience :

  • Experience with big data technologies such as Apache Spark
  • Experience working with distributed technologies and frameworks
  • Experience in processing spatial or mobility data at scale
  • Experience with workflow management (Airflow)
  • Basic familiarity with container technologies (Docker, Kubernetes)
  • Personality :

  • Proactive, demonstrate passion for the product / topic, technologies, ability to thrive under pressure, open to learning and feedback
  • What we offer

    We offer the chance to be part of an exciting and ambitious start-up that puts its people at the heart of its business. Be part of a diverse, international, cross-disciplinary team of highly motivated, hands-on experts that tackle unique challenges with a positive spirit and lots of fun.

    We offer a flexible work schedule, additional company holidays, and career development programs.

    What to expect

    Teralytics is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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