Sr Data Ops Engineer

📋 Description

• Automation & Integration: Develop Python components, Terraform modules, pipelines.
• API & System Orchestration: Use APIs to extract data and trigger processes.
• Cloud Reliability & Operations: Deploy and manage cloud infra for reliability.
• Data Modeling & Documentation: Create data models and docs for users.
• DataOps Best Practices & Innovation: Define policies and improve features.
• Customer-facing: Interact with customers to understand needs.

🎯 Requirements

• Development & Scripting: Proficient in Python and bash; SQL fluency.
• Data Ecosystems & Pipelines: Databases, data warehouses, data lakes, pipelines.
• Cloud & Tooling Mastery: AWS (EC2, Lambda, IAM, SQS, RDS, Kinesis, Glue, EKS), Terraform
• Mindset & Work Style: Detail-oriented, fast iterations, creative problem solving.
• Autonomy & Collaboration: Own projects, collaborate in diverse env.
• Customer-Facing Skills: Discuss requirements and propose solutions with customers.

🎁 Benefits

• High-impact role driving modern data infra and automation.
• International, collaborative environment with senior leadership.
• Autonomy to design and implement DataOps solutions.
• Long-term engagement with growth opportunities.