OWJ-767 - Data Ops Engineer
Responder al anuncioData Ops EngineerDepartment: 501 Product and TechnologyEmployment Type: Full TimeLocation: Remote, SpainCompensation: €3, 500 - €5, 500 / monthDescription: EIS is looking for a DataOps Engineer in the Analytic team to provide tech support and optimisation of our entire analytics data stack. The DataOps Engineer supports a variety of cloud-based and on-premise infrastructure covering back-end APIs, serverless functions as well as pipelines, developing and improving automation of the data-driven cycle used by the analytics data team: creating scripts, pipelines, improving the quality and security of every component, as well as reducing the delivery cycle time of data analytics. Key Responsibilities:Support the analytics data stack: production pipelines, deployments, services, cloud and on-premises deployments. Identify and resolve issues related to cloud infrastructure and 3rd party SaaS solutions. Conduct post-incident reviews, suggesting improvements to reduce the number of incidents in the future. Support customers and escalation cases. Maintain mission-critical software and handle data for multiple clients and on multiple environments: from Development through Production. Establish scalable, efficient, and automated processes for large-scale software and data deployments that leverage the best automation tools on offer. Service, cloud infrastructure and flow automation and orchestration. Build monitoring and meaningful alerts that meet SLA and customer demand. Document share-ready knowledge. What We Expect:Clear understanding of security best practices and compliance concerns in an enterprise environment. Minimum 4 years of experience in DataOps, DevOps or a related field. Minimum 2 years of creating IaC: Terraform. Strong knowledge of UNIX and network fundamentals. Strong database knowledge: MS SQL, Postgres. Strong Azure or/and AWS knowledge: implementation, administrative skill set. Experience with Docker/Kubernetes. Experience with GitOps and DevSecOps approaches. Experience with Agile methodologies. Seen as an advantage: Experience with any scripting language: Go, Python. Experience with data orchestration solutions (Airflow, Argo Workflows, Dagster, Prefect etc). Data tools/solutions: Snowflake, DBT, Fivetran. Monitoring: Datadog; Grafana, Prometheus, Loki, Alertmanager; ELK. IaC: Pulumi, Terragrunt. Configuration management: Ansible or similar. Familiarity with a variety of DevOps tools like FluxCD, Linkerd or their equivalents. Certs like AZ-104 or AWS Solutions Architect. SRE mindset. What We Offer: Work with top talent and great colleagues who are industry and technology experts. #J-18808-Ljbffr
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