v4c.ai
51 - 200 employees
💼 Consulting
🏥 Healthcare
🏭 Manufacturing
Consulting • Healthcare • Manufacturing
v4c. ai is a Databricks-focused data and AI services firm that helps enterprises modernize data platforms and accelerate AI initiatives. They provide advisory, migration, MLOps, generative AI, and data governance services, plus prebuilt migration accelerators and production-ready ML pipelines to reduce time-to-value. v4c. ai serves regulated and data-intensive industries (financial services, retail, manufacturing, healthcare) and emphasizes Databricks implementation, scalable model deployment, and long-term operational support.
Data Engineer
🔥 0 minutes ago
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v4c.ai
51 - 200 employees
💼 Consulting
🏥 Healthcare
🏭 Manufacturing
Consulting • Healthcare • Manufacturing
v4c. ai is a Databricks-focused data and AI services firm that helps enterprises modernize data platforms and accelerate AI initiatives. They provide advisory, migration, MLOps, generative AI, and data governance services, plus prebuilt migration accelerators and production-ready ML pipelines to reduce time-to-value. v4c. ai serves regulated and data-intensive industries (financial services, retail, manufacturing, healthcare) and emphasizes Databricks implementation, scalable model deployment, and long-term operational support.
📋 Description
• Build and optimize batch/streaming ETL workflows using PySpark, SQL, and Delta Lake on Databricks • Implement Medallion architecture (Bronze/Silver/Gold) across cloud ecosystems • Manage and deploy data resources on AWS, Azure, or GCP • Benchmark Spark jobs, tune SQL performance, and automate data validation • Structure and clean large enterprise datasets for production ML and AI workloads • Collaborate with leading enterprise clients to build scalable data platforms, engineer robust pipelines, and power downstream AI/analytics initiatives
🎯 Requirements
• 3+ years of dedicated Data Engineering experience • Strong proficiency in Python, SQL, Databricks, Apache Spark, and Delta Lake • Hands-on experience with AWS, Azure, or GCP data services • Experience with data modeling, Git, and CI/CD basics • Strong problem-solving and client communication skills • Databricks Certifications (nice-to-have) • Experience with Unity Catalog, dbt, or Airflow (nice-to-have) • Consulting or client-facing background (nice-to-have)
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