DevOps Engineer for Big Data
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Employer: | METRO.digital |
Domain: |
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Job type: | full-time |
Job level: | peste 5 years of experience |
Location: |
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Updated at: | 14.06.2021 |
Remote work: | On-site |
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
DevOps Engineer for BIG DATA solution of Metro Group
Supporting Data Discovery, Data Science and Analysis with the right Data Lake layer
Passionate about BIG DATA concepts, technologies
Knowledgeable about architectural designs in the Big Data world
Experienced in Cloud technologies. Familiarity with Google Cloud Platform is a plus
Having strong technical skills and the ability to respond quickly to technical issues or challenges
Strongly experienced in Python, familiarity with SQL
Experience with source control systems (Git)
Knowledge of monitoring and alerting strategies for production environments e.g.
Knowledge of continuous integration & deployment tools e.g. Jenkins, Gradle, Maven
Successful track record in building CI/CD pipelines and production of Data Analytics / Science applications
Good understanding of Unit Tests, Functional Tests, Integration Tests
Good understanding of application containerization technologies (Docker, Kubernetes), orchestration and scheduling (e.g. Google Composer, Apache Airflow)
Strong analytical and problem-solving skills
Experienced and self-motivated professional with the ability to work in a dynamic and rewarding environment
Having an agile mindset to work in a scrum team
A focus on customer service/satisfaction with strong interpersonal skills and responsiveness
Ability to build strong working relationships and work within a global, remote workforce
Advanced English language speaker
Develop, deploy and operate internal data lake and analytics components to support the digital transformation of our products
Value creativity, flexibility, and effectiveness aimed at creating maximum added value for the business
Our general Benefits:
Work life-balance: flexible working time, work from home forever, celebrate your birthday with a free day;
Personal growth: training in the area of soft, technical and business skills, free Bookster account, the opportunity to learn and work with a variety of technologies;
Well-being: online sports activities, fitness centers discounts, health and life insurance, private pension, lunch tickets;
Working mode: multicultural, self-organizing teams, agile environment;
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