Software Engineer BIG Data

Employer: METRO.digital
Domain:
  • IT Software
  • Job type: full-time
    Job level: peste 5 years of experience
    Location:
  • BUCHAREST
  • Updated at: 13.04.2021
    Short company description

    METRO Digital Romania is the tech product-led company of METRO, the leading international specialist for wholesale and food trade. With longstanding experience in global wholesale, METRO.digital develops customized IT services and products worldwide for all METRO countries. Located in Germany and Romania, the METRO.digital employees are working continuously on one goal: digitalizing the wholesale industry.

    Requirements

    Bachelor or Master Degree in Computer Science.
    5+ years of experience working on backend software using modern languages and frameworks (Java, Scala, Python).
    Strong database experience (BigQuery, PostgreSQL, NoSQL).
    Experience designing, developing and deploying microservice-based applications.
    Knowledge of professional software engineering practices, craftsmanship of clean and efficient code.
    Experience with Google Cloud Platform.
    Experience with tools such as Apache Kafka, Google Dataflow, Apache Spark.
    Knowledge of continuous integration & deployment tools e.g. Jenkins, Gradle, Maven, Docker, Kubernetes.
    Have the ability to work in a fast-paced and dynamic environment, within a global, remote workforce.
    Have strong interpersonal skills, intense curiosity, and an enthusiasm for solving difficult problems.
    Enjoy staying ahead of with technology and continually strive to be better at your craft
    Advanced English language speaker.

    Responsibilities

    Design, build and operate core components of our data platform enabling the product teams, data analysts and data scientists to autonomously iterate with and launch data processing jobs/models/reports into production.
    Implement and maintain microservices and frameworks, from data ingestion to consumption, leveraging Google’s cloud computing platform. Such services may include, but are not limited to: batch and streaming ingestion, data governance services, data analytics & processing framework.
    Advise, provide guidance and set standards for engineers, data scientists and data users on consumption of platform services, pipeline development, and data storage.

    Other info

    Our general Benefits:

    Work life-balance: flexible working time, work from home forever, celebrate your birthday with a free day;
    Personal growth: trainings in the area of soft, technical and business skills, free Bookster account, opportunity to learn and work with a variety of technologies;
    Well-being: online sport activities, fitness centers discounts, health and life insurance, private pension, lunch tickets;
    Working mode: multicultural, self-organizing teams, agile environment;