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Ref: #56646
• Very good understanding of Bigdata processing principles and its best practices, including design deployment strategies and setting up infrastructure for highly scalable solutions.
• Good understanding of distributed system design based on Scalability, Durability and Maintainability.
• Experienced with working on public cloud, experience in GCP is a bonus.
• Very good knowledge of cloud DevOps/security fundamentals and its best practices.
• Good knowledge of microservice architecture, docker container management and container orchestration, and developing microservices using Python or any JVM based languages.
• Proficiency in setting up automated processes to Create, Manage, Scale and Destroy infrastructure on cloud, On-demand basis.
• Experienced with observability, monitoring, alerting and log analysis using frameworks like Splunk, ELK (elastic stack), Fluentd, Grafana, Ganglia, NewRelic or any equivalent set of tools.
• Experienced with configuration management tools e.g. Chef, Puppets or any equivalent.
• Experienced with version controls and build tools e.g. Git, Poetry, Maven, SBT or any equivalent.
• Good knowledge of setting up CI/CD pipelines using Jenkins, GitHub Actions or any equivalent.
• Proficiency in Terraform, Terragrunt, Ansible, Shell scripting etc.
• Knowledgeable on data security, governance and data life cycle management.
• Strong knowledge of SQL for data processing and analysis.
• Extensive knowledge of programming languages (e.g. Java, Go, Python, or Scala), including concepts from functional and object-oriented programming paradigms.
• Good knowledge of Machine Learning models and how they rely on data feeds for their implementation
• Broad knowledge of new and emerging tools for extracting, ingesting, and processing of large datasets (Apache Spark, Beam, Kafka, or equivalent).
• Broad knowledge of digital product development principles and the importance of rapid validated learning cycles to optimise performance long term.
• A team player who takes ownership, builds cross-functional relationships and loves sharing knowledge.
• A curious world class problem solver who wants to keep learning!
• Passionate about sustainability and driven to making the planet a better place for the many people!
Data Engineer
Practice Data
Technologies Business Intelligence Jobs and Data Recruitment
Location Amsterdam, Netherlands
Type Contract
• Very good understanding of Bigdata processing principles and its best practices, including design deployment strategies and setting up infrastructure for highly scalable solutions.
• Good understanding of distributed system design based on Scalability, Durability and Maintainability.
• Experienced with working on public cloud, experience in GCP is a bonus.
• Very good knowledge of cloud DevOps/security fundamentals and its best practices.
• Good knowledge of microservice architecture, docker container management and container orchestration, and developing microservices using Python or any JVM based languages.
• Proficiency in setting up automated processes to Create, Manage, Scale and Destroy infrastructure on cloud, On-demand basis.
• Experienced with observability, monitoring, alerting and log analysis using frameworks like Splunk, ELK (elastic stack), Fluentd, Grafana, Ganglia, NewRelic or any equivalent set of tools.
• Experienced with configuration management tools e.g. Chef, Puppets or any equivalent.
• Experienced with version controls and build tools e.g. Git, Poetry, Maven, SBT or any equivalent.
• Good knowledge of setting up CI/CD pipelines using Jenkins, GitHub Actions or any equivalent.
• Proficiency in Terraform, Terragrunt, Ansible, Shell scripting etc.
• Knowledgeable on data security, governance and data life cycle management.
• Strong knowledge of SQL for data processing and analysis.
• Extensive knowledge of programming languages (e.g. Java, Go, Python, or Scala), including concepts from functional and object-oriented programming paradigms.
• Good knowledge of Machine Learning models and how they rely on data feeds for their implementation
• Broad knowledge of new and emerging tools for extracting, ingesting, and processing of large datasets (Apache Spark, Beam, Kafka, or equivalent).
• Broad knowledge of digital product development principles and the importance of rapid validated learning cycles to optimise performance long term.
• A team player who takes ownership, builds cross-functional relationships and loves sharing knowledge.
• A curious world class problem solver who wants to keep learning!
• Passionate about sustainability and driven to making the planet a better place for the many people!
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