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Detalles de la oferta

Help us look after the air you breathe and protect the planet. Join PlanetWatch! At PlanetWatch, we are building the first global real-time air quality ledger by leveraging blockchain technology, high-performance yet affordable air quality monitoring sensors, and the power of communities. If you have a self-motivated thirst for learning and consider yourself to be driven and resourceful, you will thrive at PlanetWatch.
We are looking for Data Engineers from different backgrounds to join our out-of-the-box team.
Required Skills: 2+ years experience as Data Engineer building Big Data pipelinesHands-on experience with SQL and Big Data processing with SQL or NoSQL databases (Elasticsearch, MySQL, Redis)Experience with clean coding and basic design patterns in Python or any strongly typed languageExperience with AWS cloud services and basic cloud architecturesExperience with Kubernetes and setup of CI/CD pipelinesExcellent collaboration and communication skillsAbility to complete setup goals with minimal supervisionFluent in EnglishSomething extra to bring on board ;)What will you be doing: Build, troubleshoot, and monitor data pipelines healthHelp to scale data platform, data pipelines, and ETL pipelinesDesign, secure, maintain, and monitor the cloud systemsWorking with SQL and NoSQL databasesDeveloping integrations with internal and external APIsMaintaining and improving existing systemsOptimizing data streams for high availability and scalingBuild CI/CD pipelines and manage Kubernetes deploymentsWhat's in it for you? Being part of a fast-growing greentech company with many opportunities to build great things together!Working on a platform that makes a real and tangible impact on air quality protectionFully remote work in a team where trust is valued mostThe hardware and the software you needPlenty of room for self-development and learning new skills and technologiesA competitive base paySalary: 30,000.00€ - 50,000.00€ per year
Experience: Amazon Web Services: 2 years (preferred)NoSQL: 2 years (preferred)Big Data pipelines building: 1 year (preferred)Language: English (preferred)
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