Cloud Engineer
- MUNKAVÉGZÉS HELYE
- 1112 Budapest, Boldizsár utca 2.
- TEVÉKENYSÉGI TERÜLET
- IT
- MUNKAVÉGZÉS KEZDETE
- Megegyezés szerint
- FOGLALKOZTATÁS MÉRTÉKE
- Teljes munkaidő
My responsibilities:
- Designing, developing, optimising, and maintaining the cloud infrastructure of our Azure data platform based on business and connectivity requirements while ensuring scalability and cost efficiency according to ETL and data lake principles
- Implementing security best practices and compliance standards (e.g. GDPR) to protect cloud-based assets and data
- Implementing monitoring and alerting systems to proactively identify and resolve performance issues
- Resolving technical issues to support our business objectives
- Working within an agile team to create technical features that empower our Data Engineers, Data Scientists & Machine Learning Engineers
- Providing guidance and mentoring data and analytics professionals within your team regarding data and/or infra standards and best practices
- Evaluating and recommending new tools and technologies for analytical data engineering and data science
- Staying up to date with advancements in Microsoft Azure, Databricks, and related topics
The knowledge I own:
- Background in computer science or equivalent experience
- Experience in cloud computing services and data engineering, particularly in data analytics
- Strong knowledge of infrastructure as code (IaC) tools and scripting languages (e.g. Terraform, PowerShell)
- Strong understanding of modern cloud networking concepts, especially within Azure environments
- Solid knowledge and understanding of networks, especially applicable in root cause analysis of connectivity issues between clouds and on-prem systems
- Proficiency in SQL and in at least one programming language, ideally including Python
- Experience in database development and data modelling, ideally with Databricks/Spark and SQL Server DB, as well as knowledge of relational, NoSQL, and cloud database technologies
- Conceptual knowledge of data and analytics concepts, e.g. dimensional modelling, ETL, reporting tools, data governance, data warehousing, and structured and unstructured data
- Strong problem-solving and troubleshooting skills
- Excellent communication skills and business fluency in English; German language skills are an asset but not required
The offer that would convince me:
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Possibility to improve yourself in a constantly growing organization
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An above-average salary
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Intensive individual and practical training varied and interesting tasks
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Pleasant working environments
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A secure, long-term employment opportunity
Online application:
Please use our online application and attach your resume.