# Databricks Engineer-Canada

**Company:** [V4C.ai](https://jobs.workable.com/companies/kb5Wja5n4RGDc2pq5FujAz.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Contract
**Department:** Delivery

[Apply for this job](https://jobs.workable.com/view/05a3827f-a835-4ae4-8112-bde1618d61d7)

## 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.

**We are seeking a production-focused Senior Data Engineer with exceptional communication skills and a proven track record of delivering reliable data pipelines. In this role, you will have end-to-end production ownership of our data platforms, ensuring high data quality and robust system performance. The ideal candidate prioritizes practical problem-solving and hands-on execution over high-level architecture. You excel at debugging complex data issues and can clearly**

**communicate technical resolutions using a direct, impact-driven approach.**

**Key Responsibilities**

-   **Pipeline Development: Build, optimize, and maintain robust data pipelines using SQL, dbt, and Python.**
-   **Data Quality & Testing: Implement rigorous data-quality checks and automated testing frameworks within dbt to proactively catch anomalies.**
-   **Production Ownership: Monitor production workflows, manage alerts, and rapidly debug pipeline failures from root cause to permanent fix.**
-   **Data Transformation: Write efficient PySpark transformations to process large-scale datasets within our Lakehouse environment.**
-   **Collaboration & Communication: Translate complex data issues into clear, concise action plans for both technical teammates and business stakeholders.**

**Required Skills & Experience**

**Core Technical Expertise**

-   **SQL & dbt: Expert-level SQL skills and extensive hands-on experience building modular models, snapshots, and custom schema tests in dbt.**
-   **Python: Strong proficiency in writing clean, maintainable Python scripts for data manipulation, automation, and API integrations.**
-   **PySpark: Decent, practical experience utilizing PySpark for data transformation and basic performance tuning (e.g., handling joins, DataFrame API).**
-   **Lakehouse Knowledge: Functional understanding of Delta Lake or similar Lakehouse technologies, including ACID transactions and MERGE operations.**

**Execution & Soft Skills**

-   **Strong Communication: Exceptional written and spoken communication skills. Ability to explain problems and results directly and concisely.**
-   **Debugging & Problem Solving: Superior troubleshooting skills with a methodical approach to identifying root causes and validating fixes.**
-   **Production Mindset: Experience owning pipelines end-to-end, including CI/CD deployment, monitoring, and handling schema drift.**