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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.
Job Description:
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.
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