Senior DataOps Engineer

3 tygodni temu

Wrocław, Województwo dolnośląskie, Polska ZOOLA TECH POLAND sp. z o.o. Pełny etat

technologies-expected : Kafka Flink Microsoft Power BI GitHub Kubernetes Terraform Terragrunt Grafana Python Java about-project : At Zoolatech, we're dedicated to transforming the business landscape with our comprehensive expertise in software development. Our collaboration with a top-notch supplier of quality and compliance cloud-based software, is geared towards revolutionizing the creation and distribution of life sciences products. Our client is building the next generation data platform that will help redefine how their customers bring lifesaving and life-changing products to market. We are looking for an Data Platform Operations engineer who will build, maintain and enhance our client data platform infrastructure. This Data Platform Operations Engineer role is crucial in our client's important work of helping their customers get the actionable insights they need from their quality and manufacturing processes. You will have worked with BI tools to build live connection models required for presenting high-quality, fresh data to support our worldwide customer base in the US, EMEA, APAC. You will also automate deployment of those models to ensure frictionless releases with a minimum of toil. Your strong engineering skills will expand expertise within our Data Platform teams. Your experience working with APIs, SQL, data modeling, dashboards and alertiing will enable you to build capabilities, tools, and plugins to support our data systems. responsibilities : Design, build, and maintain services and APIs to manage our data platform with an eye toward automation at enterprise-scale. Design and develop dashboards providing deep insights into the health and usage of our data platform. Implement best practices for data governance, security, and privacy to maintain the highest standards for data integrity. Understand and integrate our analytics tools, including our BI platform, with multiple data products, ensuring high-quality delivery of data to our customers. Create and maintain documentation for our analytics services and capabilities Work with data engineers, BI engineers, and product managers to translate business requirements to technical specifications for data platform operations capabilities. Automating the process of releasing updates to data products with the highest quality. Foster collaboration in team and cross-team settings. Support development and telemetry of scalable and reliable data pipelines. requirements-expected : Bachelor's degree in analytics, information systems, computer science, data science, or equivalent experience 5+ years experience building analytics systems and service pipelines Knowledge of relational, dimensional, and other data modeling Experience with Confluent Cloud, including Kafka and Flink Experience integrating BI Platforms like Sisense DevOps related GitHub Actions Kubernetes (EKS, ArgoCD, Istio) Terraform, Terragrunt Grafana 5+ years experience in using and building APIs Experience with one or more languages (Python, Java) Excellent communication, interpersonal, collaboration, and team skills Passionate about creatively solving business problems Effectively prioritize and execute tasks in a high-pressure environment Meet multiple, challenging deadlines while communicating expectations clearly offered : Paid Vacation Sick Days Sport/Insurance Compensation English Classes Charity Training Compensation

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