Data Engineer

🔥 13 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟢 Junior

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.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

• Architect, build, and maintain scalable data pipelines for AI/ML workflows, including feature engineering and model-training datasets. • Design and implement data pipelines, data lakes, and data warehousing solutions. • Partner with data scientists and analysts to deploy machine learning models and analytics solutions on Databricks. • Enhance Databricks cluster performance for cost-effectiveness and efficient resource utilization. • Implement Databricks security features, enforce data governance, and maintain compliance with industry standards. • Collaborate with data scientists to securely deploy and operationalize machine learning models in production. • Contribute to the technical direction and best practices of data engineering initiatives. • Stay current with Databricks innovations, best practices, and industry trends, and share knowledge across the team.

🎯 Requirements

• 1-4 years in data engineering or related fields. • Solid experience with Databricks, focusing on platform engineering, data engineering, and analytics. • Proficiency in Python, Scala, or Java. • Strong experience with Databricks APIs, Apache Spark, and Delta Lake. • Solid experience in data warehousing, ETL processes, and data governance frameworks. • Practical experience supporting AI/ML lifecycles, including familiarity with ML frameworks such as TensorFlow or PyTorch, or MLOps practices. • Proven ability to work independently, take ownership of projects, and collaborate effectively with a team. • Excellent interpersonal and communication skills for effective collaboration with stakeholders. • Hands-on experience with AWS, Azure, or GCP is desirable. • Databricks Certified Professional or equivalent certification is desirable. • Familiarity with ML concepts and libraries such as TensorFlow, PyTorch, and Scikit-learn is desirable.

🏖️ Benefits

• Best-in-industry learning and growth opportunities. • Comprehensive Health and wellness benefits, including medical insurance for self and family. • Employee rewards program. • Paid parental leave. • Flexible schedule. • Remote working benefits.

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