Senior Data Engineer (Snowflake) (Szeged)

Senior Data Engineer (Snowflake) (Szeged)
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Senior Data Engineer (Snowflake)

Tasks

  • Serve as an expert for Snowflake development, act as a technical lead in building the Cloud Data Warehouse
  • Share knowledge of the Snowflake ecosystem and articulate the value proposition of cloud modernization/transformation within the organization
  • Collaborate with Software & Data Engineers and Architects to implement and maintain the standards and consistency for the data-pipelines and best practices
  • Actively collaborate in an agile environment with scrum masters, product owners, product managers, clients, business partners and technical teams (Daily Scrum, Program Increment Planning, Refinement, Retro etc.)
  • Actively participate in the development of data-driven processes and solutions
  • In case of inbound error reports, take troubleshooting steps (error analysis, error correction, etc.) and / or contact the relevant supervisor
  • Provide development estimates on projects and tasks
  • Participate in documentation (program documentation, user manual, administrator guide, etc.)
  • Train and professionally develop less experienced colleagues
  • Stay up to date with industry trends and state-of-the-art data warehouse solutions

If you have…

  • Ideally MSc in Computer Science, Mathematics, Engineering or related field
  • Experience in designing and implementing fully operational data solutions on Snowflake
  • At least 2 years of proven track record in architecting, designing and operationalization of large-scale data and analytics solutions
  • Strong knowledge and experience with AWS Cloud
  • Solid grasp of database engineering and design
  • Solid knowledge of architectural approaches including consolidation, cloud computing, virtualization, information management, Big Data, AI, Machine Learning, etc.
  • Programming skills in Python, and/or Java/JavaScript
  • At least 1-3-year experience working in a DevOps environment (experience with CI/CD build and release automation tools, containers (e.g. Docker), container orchestration tools (e.g. Kubernetes)
  • Team player, self-motivated, pro-active with good interpersonal and communication skills
  • Strong problem-solving and analytical skills
  • Ability to work in multi-cultural and geographically distributed teams
  • Accepting DevOps & MLOps as a working culture (end-2-end responsibility)
  • Fluent verbal and written English is a must

Advantages:

  • Knowledge of German language is a plus
  • Experience with working in an agile development methodology (Kanban, Scrum, SAFe etc)
  • Experience with Docker, Kubernetes, Microservices etc.
  • ML Ops/ML Automation skills
  • Cetificates in Snowflake (Snowpro)
  • Certificates in AWS
  • Certificates in SAFe
 
Szeged

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