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Ccube Tech Stack

Data, AI, and cloud migration consulting for enterprise engineering teams

IT Services and IT Consulting Cupertino, CA 51–200 employees Founded 2022 Privately Held

Ccube is a 51–200-person IT consulting firm built around data modernization, AI, and cloud engineering. The tech stack (Python, Databricks, Azure Data Factory, Kubernetes, Docker) reflects a services business anchored in data pipeline and MLOps delivery. Active hiring is concentrated in data (6 roles) and engineering (5 roles), predominantly senior-level, across US, Canada, and India — signaling capacity expansion for large-scale cloud and data platform projects. Current project work centers on Azure migrations, ETL automation, and data quality testing, with pain points clustered around pipeline performance, manual testing overhead, and on-premises-to-cloud transitions.

Tech Stack 59 technologies

Core StackPython Django FastAPI Flask Java AWS Docker Kubernetes Jira Asana Selenium Cypress Playwright Postman Azure DevOps JavaScript Jenkins GitLab CI/CD Databricks Azure Data Factory PySpark Azure GCP Microsoft Project Swagger Git Appium TestRail Rest Assured SQL+29 more

What Ccube Is Building

◆Challenges

Improving product quality
Reducing defects
Large-scale pipeline testing
Manual regression testing
Inefficient deployment processes
Migrating on-premises system to cloud
Performance optimization of data pipelines
Scalable multi-cloud data platforms
Migrating data to azure cloud
Process improvement and automation

▲Active Projects

Automated test framework for etl pipelines
Data quality regression testing automation
Migrating on-premises system to azure cloud
Building metadata driven data ingestion and transformation pipelines using azure data factory
Building spark applications for data extraction, transformation and aggregation
Data migration to azure cloud
Analytical dataset development
Data model and pipeline design

Hiring Activity

Accelerating10 roles · 6 in 30d

Department

Data

6

Engineering

5

Seniority

Senior

10

Mid

1

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About Ccube

Ccube provides IT consulting and full-service engineering for data platforms, AI/ML, and cloud-native applications. The firm serves mid-market and enterprise clients undertaking data strategy, cloud migration, and analytics modernization. Service lines span data architecture and engineering (Databricks, Snowflake, Azure Data Factory), AI/GenAI model development, DataOps and MLOps infrastructure, and web/mobile app development. Ccube operates a hybrid delivery model with onsite resources in the US and a development center in India, enabling flexibility in staffing for long-term projects and managed services engagements.

HeadquartersCupertino, CA

Company Size51–200 employees

Founded2022

Hiring MarketsIndia, United States, Canada

Frequently Asked Questions

What tech stack does Ccube use?

Python, Java, Databricks, Azure Data Factory, Snowflake, AWS, Azure, GCP, Kubernetes, Docker, Jenkins, GitLab CI/CD, and testing frameworks including Selenium, Cypress, and Playwright.

What is Ccube working on?

Primary focus areas include Azure cloud migrations, metadata-driven data ingestion pipelines using Azure Data Factory, Spark-based ETL applications, automated testing frameworks for data pipelines, and data quality regression testing automation.