Data Ops Engineer

📋 Description

• Lead scalable ETL/ELT pipelines to central data warehouses.
• Build and manage CI/CD pipelines for data assets; automate extraction, testing, deployment.
• Use Terraform for IaC to manage cloud infra and env parity across dev/stage/prod.
• Monitor data pipelines for health and quality; build automated alerts.
• Enforce data security: IAM, encryption, access controls; ensure GDPR/CCPA compliance.
• Collaborate with data scientists to enable data access and infra support.
• Optimize data engineering workflows with stateful data best practices.

🎯 Requirements

• 6+ years in DataOps/Data Engineering/DevOps with large-scale data.
• Expert Python and SQL.
• Orchestration tools (Airflow, Mage, Prefect) and dbt experience.
• Cloud experience with AWS (or GCP/Azure); Docker/Kubernetes.
• Git for version control and Terraform for infrastructure management.
• Data warehouse/lakehouse knowledge (Snowflake, Databricks).

🎁 Benefits

• Great Company Culture
• Growth opportunities
• Work Hard, Enjoy Life
• Benefits package (medical, life, etc.)
• Perks: gym reimbursement, wellbeing program, learning platforms, employee discounts
• Company events and social activities