#12 Senior DataOps Engineer

1 нед. назад

АргентинаSeniorHybrid

databricksdataopsautomation

Senior DataOps Engineer to industrialize and scale Databricks as a corporate data platform for a financial institution.

🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀 At , we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning. We are looking for a Senior DataOps Engineer to join our team and work on a long-term project with a leading financial institution in Argentina.🐶🚀 Your mission will be to industrialize Databricks as the corporate data platform, with a standardized, automated, observable, and reliable model to develop and operate data products, reducing manual tasks and individual dependencies and enabling self-service so the platform can scale without increasing the operational load on the team.
📊 We are Data Nerds
🤗 We are Open Team Players
🚀 We Take Ownership
🌟 We Have a Positive Mindset

Design and implement CI/CD for Databricks, including controlled promotion across environments.
Manage Infrastructure as Code for workspaces, permissions, compute, service principals, and policies.
Create reusable templates and standards for new data products and pipelines.
Automate the onboarding of data products, users, and services.
Implement observability: monitoring, logging, alerting, and operational metrics.
Define SLOs/SLAs, retries, reprocessing, and recovery mechanisms.
Optimize platform reliability, performance, and capacity.
Apply FinOps practices: tagging, cost allocation, and cost optimization.
Document standards, runbooks, and operational procedures.
Collaborate with Architecture, Security, Infrastructure, Governance, and Development teams to align platform decisions.

Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.
Amazon Web Services
Astronomer
Databricks
5+ years of experience in Data Platform Engineering, DataOps, DevOps, SRE, or similar roles.
Production experience with Databricks in enterprise environments.
Solid experience with CI/CD and Git.
Hands-on experience with Terraform (or an equivalent Infrastructure as Code tool).
Cloud knowledge: IAM, service principals, secrets management, networking, and infrastructure automation.
Ability to work autonomously, solve complex problems, and define technical standards.
Strong communication skills to work with multiple teams across the organization.
Degree in Engineering, Systems, IT, or related fields.
Technical English.