Job Description

About V4C
At V4C, we empower enterprise organizations to unlock the full value of their data. As a fast-growing technology consultancy, our Databricks practice partners with industry leaders to architect modern data platforms, build high-performance data pipelines, and accelerate enterprise AI and analytics initiatives.

V4C is hiring a Mid-Level Data Engineer to join our growing US Databricks practice. You will collaborate with leading enterprise clients to build scalable data platforms, engineer robust pipelines, and power downstream AI/analytics initiatives.
Key Responsibilities

• Data Pipelines: Build and optimize batch/streaming ETL workflows using PySpark, SQL, and Delta Lake on Databricks.
• Lakehouse Architecture: Implement Medallion architecture (Bronze/Silver/Gold) across cloud ecosystems.
• Cloud Operations: Manage and deploy data resources on AWS, Azure, or GCP.
• Optimization & Quality: Benchmark Spark jobs, tune SQL performance, and automate data validation.
• AI Enabling: Structure and clean large enterprise datasets for production ML and AI workloads.

Requirements

• 3+ years of dedicated Data Engineering experience.
• Tech Stack: Strong proficiency in Python, SQL, Databricks, Apache Spark, and Delta Lake
• Cloud Platforms: Hands-on experience with AWS, Azure, or GCP data services.
• Engineering Standards: Experience with data modeling, Git, and CI/CD basics.
• Strong problem-solving and client communication skills.

Nice-to-Have

• Databricks Certifications.
• Experience with Unity Catalog, dbt, or Airflow.
• Consulting or client-facing background.