Databricks Engineer

🔥 30 minutes ago

🇨🇦 Canada – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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v4c.ai

WebsiteLinkedInAll Job Openings

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, optimize, and maintain robust data pipelines using SQL, dbt, and Python • Implement data-quality checks and automated testing frameworks within dbt to catch anomalies • Monitor production workflows and manage alerts • Debug pipeline failures from root cause through permanent fix • Write efficient PySpark transformations for large-scale datasets in a Lakehouse environment • Translate complex data issues into clear action plans for technical teammates and business stakeholders • Maintain end-to-end production ownership of data platforms, ensuring high data quality and robust system performance

🎯 Requirements

• Expert-level SQL skills and extensive hands-on experience building modular models, snapshots, and custom schema tests in dbt • Strong proficiency in writing clean, maintainable Python scripts for data manipulation, automation, and API integrations • Decent, practical experience utilizing PySpark for data transformation and basic performance tuning, including joins and the DataFrame API • Functional understanding of Delta Lake or similar Lakehouse technologies, including ACID transactions and MERGE operations • Exceptional written and spoken communication skills • Superior troubleshooting skills with a methodical approach to identifying root causes and validating fixes • Experience owning pipelines end-to-end, including CI/CD deployment, monitoring, and handling schema drift