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Data Engineer

Company Description

    Starschema is a Budapest-based tech entity where petabytes of data are crunched and refined for trusting Fortune 500 companies. Already a first-class player on the Business Intelligence scene, we have a long standing history of excellence in the areas of big data, dataviz, data science and architecture.

    We are Starschema. We play big data.

Job Description

  • Participate in an AWS project;
  • Build and maintain database/bigdata clusters in AWS;
  • Build dashboards for infrastructure management and reporting;
  • Design and deploy infrastructure management strategies to meet uptime and monitoring SLA’s;
  • Deploy code release in QA and PROD;
  • Participate in building unit/performance/integration tests working with database developers;
  • Participate in database SQL optimization plan;
  • Deploy configuration and automation tools to remove manual steps in deploying, upgrading, and scaling systems and software across all environment.

Qualifications

  • Hands-on experience building data solutions using Spark, HDFS / Elasticsearch / NoSQL or comparable technologies;
  • Hands-on experience with requirements analysis, design, coding and testing patterns;
  • Has experience in engineering (commercial and open source) software platforms and large-scale data infrastructures;
  • Experience working with cloud computing environments, preferably AWS;
  • Excellent communications skills in English (both written and oral);
  • Experience in working with multicultural teams;
  • Intelligent, communicative team-player personality, interested in and willing to learn new skills and technologies.

Additional Information

  • In return, we are offering a competitive package and to work in super-friendly, young and fresh environment, in a state-of-the art office with loads of coffee & fruit, regular massage, sport pass, games - and these are only the fraction of fringe benefits.
  • You will have the chance to work with talented and agile people and to learn new technologies, create new solutions and to develop not just yourself - but the business that you work in.

Sector(s):

  • IT Development
  • Database Expert
  • IT Consultant, Analyst, Auditor
  • Full time

Experience required:

  • 1-3 years professional experience

Required language level:

  • English - intermediary/communicative

Job location:

Budapest, 1139 Váci út 99.

How to apply:

To apply you have to push the „Jelentkezem” button, what you can find below.

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Állás, munka még: Starschema Kft.>
A hirdetés adatai:
  • Pozíció neve: Data Engineer
  • Rövid pozíció név: Data Engineer
  • Hirdető cég: Starschema Kft.
  • Elsődleges kategória:
  • Terület: Budapest
  • Város: XIII. kerület
  • Feladatok: Participate in an AWS project; Build and maintain database/bigdata clusters in AWS; Build dashboards for infrastructure management and reporting; Design and deploy infrastructure management strategies to meet uptime and monitoring SLA’s; Deploy code release in QA and PROD; Participate in building unit/performance/integration tests working with database developers; Participate in database SQL optimization plan; Deploy configuration and automation tools to remove manual steps in deploying, upgrading, and scaling systems and software across all environment.
  • Elvárások: Hands-on experience building data solutions using Spark, HDFS / Elasticsearch / NoSQL or comparable technologies; Hands-on experience with requirements analysis, design, coding and testing patterns; Has experience in engineering (commercial and open source) software platforms and large-scale data infrastructures; Experience working with cloud computing environments, preferably AWS; Excellent communications skills in English (both written and oral); Experience in working with multicultural teams; Intelligent, communicative team-player personality, interested in and willing to learn new skills and technologies.
  • Elvárt végzettség: Főiskola
  • Elvárt nyelvismeret: Angol
  • Foglalkoztatás jellege: Teljes munkaidő
  • Szükséges tapasztalat: 1-3 év szakmai tapasztalat
  • Feladás dátuma: 2017-11-14