Teams at Ccube

Designs enterprise-scale cloud data architectures, lakes, warehouses, and lakehouses across AWS and Azure. Develops high-level designs, medallion architectures, data models, integration patterns, governance and security frameworks. Leads batch and real-time ETL/ELT architecture, cloud modernization, performance and cost optimization, while providing technical leadership and mentoring data engineering teams.

Designs, develops, and leads enterprise-scale AWS and Azure data platforms, pipelines, lakes, warehouses, and lakehouses. Builds ETL/ELT workflows using SQL, Python, Spark, Databricks, Kafka, Airflow, and dbt; implements data quality, governance, security, monitoring, CI/CD, and automated testing. Optimizes performance, reliability, scalability, and cloud costs, troubleshoots production issues, collaborates with technical and business stakeholders, and mentors junior engineers.

Provide senior-level technical and production support for a large Ruby on Rails application. Troubleshoot application, database, hosting, API, payment, and integration issues across Ruby on Rails, PostgreSQL, Heroku, Stripe, and AWS S3. Perform root cause analysis, incident resolution, debugging, SQL queries, scripts, configuration changes, and code fixes. Collaborate with Engineering, Product, QA, and Customer Support while maintaining documentation, runbooks, and RCA reports. Night-shift availability is required.