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Enter the world of ING Tech Poland. Join the team of professionals and implement with us international IT projects.

Every day we work with the finest technologies: Linux, RedHat, Docker, Puppet, Kafka, Zerto, NGINX, GitLab, Angular, Tomcat, Hadoop, Nessuss, Java, Apache, ServiceNow, ElasticSearch, Vmware, .Net and many more. The possibility of working with modern technology gives great satisfaction. Besides, it gives you a lot of experience.

Results (5)

  • DevOps Engineer (IT Data platform)

    You have knowledge of data manipulation and transformation, e.g. SQL; Hands-on experience building complex data pipelines e.g. ETL; Hands-on experience managing and further developing distributed systems and clusters for both batch as well as streaming data (Hadoop/Spark and/or Kafka/Flink); Programming in scripting languages, e.g. Python; Experience in setting up both SQL as well as noSQL databases; Deployment and provisioning automation tools e.g. Docker, Kubernetes, OpenShift, CI/CD; Scripting and Linux systems understanding; Affinity with Advanced Analytics, Data Science; You have good communication skills at technical and business level

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  • Data Infrastructure hacker

    Infrastructure as a code is in your DNA; You are the master of containerization and you have at least some experience with Kubernetes; You are managing distributed systems or large scale deployments and you are willing to create secure by design solutions

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  • DevOps Engineer with programming (Data Lake)

    You have a good knowledge of Unix systems: Linux (Red Hat) or related; You know Python/JAVA programming languages; You have the ability to solve complex problems and their correlation, draw conclusions and propose corrective actions/improvements; You speak English at the minimum level B2

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  • FullStack developer for Data Analytics Platform

    You have strong programming skills in Scala (or another Functional Programming language), Java and experience with Python; You are skilled with frontend development - React or Angular; You have good operating system knowledge and solid understanding GIT, CI/CD

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  • Data Engineer – Advanced Analytics

    Data manipulation and transformation (e.g. SQL); Build complex data pipelines (ETL); Knowledge of Apache Airflow; Ability to build data processing solutions (stream and batch) using distributed programming platforms such as Hadoop, Spark, Kafka, Flink, etc.; Knowledge of programming languages like Python and/or Scala.

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