Senior Data Ops Engineer
il y a 6 jours
**What you'll do**: We are seeking a highly skilled and motivated DataOps Engineer to join our dynamic data team. As a DataOps Engineer, you will play a crucial role in designing, implementing, and managing our data infrastructure, ensuring seamless data flow across the organization, and enabling data-driven decision-making. You will collaborate closely with data engineers, data scientists, and other stakeholders to build and maintain robust, scalable, and efficient data pipelines. **Responsibilities**: **Data Infrastructure Design and Implementation**: Design and implement a scalable and reliable data infrastructure that supports the collection, processing, storage, and analysis of large-scale datasets. Pushing security and privacy best practices. **Data Pipeline Development and Maintenance**: Build and maintain data pipelines that efficiently extract, transform, and load data from various sources into our data warehouse. **Automation and Orchestration**: Implement automation and orchestration tools to streamline infrastructure provisioning, data workflows, reduce manual effort, and improve operational efficiency. **Monitoring and Troubleshooting**: Monitor data platform for performance and reliability, identify and troubleshoot issues, and implement proactive solutions to ensure data quality and availability. Streamline and monitor platform costs, identify optimizations and saving opportunities. **Collaboration**:**Collaborate with data engineers, data scientists, and other stakeholders to gather requirements, understand data needs, and provide technical expertise. **Who you are**: If you don't meet all the requirements below but believe this opportunity matches your expectations and experience, we still encourage you to apply - **Experience**: > 5 years of experience (excluding apprenticeships, internships) as a DataOps Engineer or in a similar role, with a proven track record of building and maintaining complex data infrastructures. - **Technical Skills**:Strong proficiency in data engineering / infrastructure tools an technologies, such as stream & events processing (Kafka, PubSub, Firehose...), Kubernetes. - **Programming Skills**: Expertise in programming languages like Python. - **Cloud Infrastructure**: Familiarity with cloud infrastructure and services, preferably AWS,Azure, or GCP. Experience with infrastructure-as-code tool such as Terraform. Security best practices on network and IAM. - **Problem-Solving**: Excellent problem-solving skills with a focus on identifying and resolving data infrastructure bottlenecks and performance issues. - **Communication**: Strong communication and collaboration skills to effectively work with cross-functional teams **Bonus Qualifications**: - **Experience building API**: Understanding API design and best practices with framework such as FastAPI. - **Knowledge of Data Governance and Security**: Understanding of data governance principles and best practices for data security. - **CI/CD Experience**: Experience with continuous integration and continuous delivery (CI/CD) pipelines for data. **What we offer**: - Free health insurance for you and your children - Parent Care Program: receive one additional month of leave on top of the legal parental leave - Free mental health and coaching services through our partner Moka.care - For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support - Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy - Up to 14 days of RTT - A subsidy from the work council to refund part of the membership to a sport club or a creative class - Lunch voucher with Swile card **The interview process**: - Recruiter Interview - Case Study Interview - System Design Interview - Behavioral Interview - At least one reference check If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles - Join us in building the healthcare we all dream of_
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