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.
Skills Required
- 3+ years dedicated Data Engineering experience
- Python
- PySpark
- SQL
- Databricks
- Apache Spark
- Delta Lake
- Experience with AWS, Azure, or GCP data services
- Data modeling experience
- Git
- CI/CD basics
- Strong problem-solving and client communication skills
- Databricks Certifications
- Experience with Unity Catalog
- Experience with dbt
- Experience with Airflow
- Consulting or client-facing background
v4c.ai Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about v4c.ai and has not been reviewed or approved by v4c.ai.
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Flexible Benefits — Flexible work arrangements, including remote-first and hybrid options, are highlighted across roles and company materials. Flexibility is positioned as part of the benefits package supporting work–life balance.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings such as wellness programs and regular social events are explicitly called out. These lifestyle benefits are framed as supporting employee happiness.
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Healthcare Strength — Comprehensive health insurance plans are stated as part of the package. Health coverage is presented as a core benefit alongside wellness support.
v4c.ai Insights
What We Do
v4c.ai is a premier IT services consultancy specializing in Databricks to help organizations unlock the full potential of their data. We partner with enterprises to accelerate their journey to becoming data-driven by delivering end-to-end Databricks services across Lakehouse implementation, data engineering, AI/ML, and governance. Our expertise in integration, optimization, and enablement empowers clients to unify disparate data sources, modernize analytics, and build AI-ready platforms. By aligning Databricks capabilities with strategic business goals, we help organizations achieve faster insights, stronger competitive advantage, and scalable innovation.
