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Experience in building data services and applications using Python, familiarity with Pandas, strong computer science fundamentals, comfortable with Git, Docker, CI/CD, SQL, automated testing, outstanding communication skills in English, positive approach to problem-solving and learning concepts in evolving environment Docker Python SQL Git Azure Pandas Spark.
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Python, Docker, Kubernetes, Databricks, Pulumi, Confluent, Snowflake, Azure, GCP. Python, Docker, Kubernetes, Databricks, Pulumi, Confluent, Snowflake, Azure, GCP. A plus would be professional experience with applications like Databricks, Confluent and/or Pulumi.
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Container management and microservices such as Kubernetes, Docker and Openshift. Data and Analytics such as Databricks, Snowflake, Azure Fabric and Power BI. Container management and microservices such as Kubernetes, Docker and Openshift.
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3+ years of hands-on experience with AWS Services, knowledge of cloud architecture design patterns, hands-on knowledge of Linux, Ansible, Terraform, Docker, GIT, CI/CD, Modern monitoring tools, ability to communicate in Polish & English.
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Docker, Terraform, Snowflake, and Datadog. Senior C# Software Engineer - Merchant Services. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Klarna and many others.
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Experience with the tools we use, like AWS (including Glue and Lambda), Redshift, Data Build Tool (DBT), Snowflake, and Docker - plus experience with tools we don’t use, but should, and the wisdom to know when to recommend them.
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Expertise automating operations tasks (deployments, CI/CDs, security updates) utilizing bash, docker, ansible and Terraform. ● DevOps: Terraform, Bash, Ansible, Docker, GitHub. Infrastructure: MongoDb, Redis, Snowflake, AWS (S3, Cognito, Lambda, Secret Manager), Digital Ocean VMs, Netlify, Cloudflare● Monitoring: Prometheus/Grafana/Loki, New Relic, Sentry, Logtail, AWS CloudTrail, AWS CloudWatch ● Frameworks: Node.js, Express, React (provided for operations context: this role does not require application development experience.
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GCP, Kubernetes, GitLab, Helmfile, Terraform, Docker, Ansible, Nginx, Redis, CloudSQL/MySQL, Python, Flask, React, Vue.js, Snowflake, Looker. 2+ years experience with k8s, Helm, IaC, Terraform and Docker.
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Understanding of virus and malware defense systems such as Crowdstrike, Sentinel One, Trend Micro, etc. Relevant certifications such as CISSP, CCSP, GSEC, or equivalent. Robust understanding of WAF technologies such as Akamai, Cloudflare, Google Cloud Armor, Imperva, etc.
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N of meer van de volgende tools: Apache Airflow, Databricks, Snowflake, dbt, PySpark, Docker. Hierbij werk je dagelijks met moderne technieken zoals Airflow, Kubernetes, Docker, Python en Databricks.
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Deze draaien samen met Kafka, Kubernetes, Terraform en Docker in AWS (op zeer korte termijn Azure) welke worden onderhouden door ons Platform engineering team waar je nauw mee samenwerkt. Deze draaien samen met Kafka, Kubernetes, Terraform en Docker in AWS (op zeer korte termijn Azure) welke worden onderhouden door ons Platform engineering team waar je nauw mee samenwerkt.
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Experience in Container technologies like Docker and Kubernetes. Experience with cloud databases platforms (AWS/Azure/Oracle OCI certification is helpful), on both Linux and Windows environments.
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Knowledge of containerization tools and orchestration (Docker, Kubernetes) is a plus. A developer proficient in Python and modern web development frameworks (e.g., Django, Flask, Asyncio/Aiohttp.
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Knowledge of Docker, AWS, Snowflake, Scripting, Linux, CI/CD, Database management is a strong plus. Are familiar with distributed data stores, Snowflake, Splunk, S3, as well as relational databases such as PostgreSQL and MySQL.
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Experience with Docker, Big data technologies (e.g. Spark), Scientific computing. Experience with CI/CD systems, such as Azure DevOps, Gitlab CI. Experience with Docker, Big data technologies (e.g. Spark), Scientific computing.
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docker job in Snowflake, AZ
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