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Platform Data Engineer (DataOps / Orchestration) - Latin America - Remote
Indeed
Full-time
Onsite
No experience limit
No degree limit
Pje. Centenario 130, C1405 Cdad. Autónoma de Buenos Aires, Argentina
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Description

Summary: This senior Platform Data Engineer role focuses on stabilizing and supporting a modern cloud data platform, ensuring scalable, reliable, and maintainable data pipeline frameworks. Highlights: 1. Platform-centric role focused on orchestration and reliability 2. Intersection of data engineering and data operations (DataOps) 3. Opportunity to stabilize and harden an existing data platform Azumo is currently looking for a senior **Platform Data Engineer** to support and stabilize a modern cloud data platform during a period of growth and integration. This position is **FULLY REMOTE** based in Latin America\- **This role sits at the intersection of data engineering and data operations (DataOps).** Your primary responsibility will be to ensure that the frameworks used to build, deploy, and operate data pipelines are scalable, reliable, and maintainable, while reducing operational burden on the internal data team. **This is a platform\-centric role focused on orchestration and reliability rather than a pure BI or SQL\-only data engineering position.** **Requirements** The Platform Data Engineer (DataOps) will be based remotely. **Basic Qualifications:** * Senior/Staff\-level experience as a Platform Data Engineer or DataOps Engineer. * Strong Python experience for orchestration and framework\-level work. * Hands\-on production experience with **Prefect** (strongly preferred) or Airflow. * Proven experience with **dbt** in a production data warehouse environment and **Snowflake**. * Experience with **AWS** (data workloads, scheduled or batch processing). * Proficiency with **GitLab CI/CD** and **Terraform** for infrastructure\-as\-code. * Experience operating and maintaining production data pipelines at scale. * Professional English proficiency (B2/C1\) **Preferred Qualifications:** * Experience with data observability tooling (e.g., Monte Carlo or similar). * Exposure to MLOps or ML pipeline orchestration. * Experience joining an existing data platform mid\-stream to stabilize and harden it. * Prior experience in time\-boxed platform enablement or advisory engagements. **Responsibilities:** * Own and improve data orchestration patterns (Scheduling, Retries, Backfills). * Strengthen deployment and operational patterns to reduce "firefighting" for internal teams. * Ensure data pipelines and models are production\-grade and operationally sound. * Use Terraform to support infrastructure\-as\-code for data platform components. * Document patterns and decisions to ensure internal teams can operate independently. **Benefits** * Paid time off (PTO) * U.S. Holidays * Training * Udemy free Premium access * Mentored career development * Free English Courses * Profit Sharing * $US Remuneration About Azumo Based in San Francisco, California, **Azumo** is an innovative software development firm specializing in **AI software development services**. We help companies of all sizes build intelligent applications by combining expertise in data, cloud, and **AI**. Our talented **AI developers** are trusted to deliver **Top AI Development services** in **Generative AI**, intelligent automation, and custom machine learning solutions. At **Azumo**, we believe in professional and personal growth. As a recognized **AI Development company**, we support our engineers in mastering the latest technologies and delivering **Top AI Development services** worldwide. Our culture emphasizes collaboration, continuous learning, and solving complex problems with modern **AI** solutions. We believe in giving back to our community and will volunteer our time to philanthropy, open\-source initiatives and sharing our knowledge. If you are qualified for the opportunity and looking for a challenge please apply online at Azumo/join\-our\-team or connect with us at people@azumo.co

Source:  indeed View original post
Sofía González
Indeed · HR

Company

Indeed
Sofía González
Indeed · HR
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