Data Engineer

🕒 July 23

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 25%

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

• Design, develop, and maintain large-scale data systems • Develop and implement ETL processes using various tools and technologies • Collaborate with cross-functional teams to design and implement data models • Work with big data tools like Hadoop, Spark, PySpark, and Kafka • Develop scalable and efficient data pipelines • Troubleshoot data-related issues and optimize data systems • Transition and upskill into Databricks & AI/ML projects

🎯 Requirements

• Relevant years of experience in data engineering • Strong proficiency in Python, SQL, ETL, and data modeling • Experience with one or more of the following: • ○ Teradata • ○ Informatica • ○ Hadoop • ○ Spark • ○ PySpark • ○ ADF • ○ Snowflake • ○ Big Data • ○ Scala • ○ Kafka • Cloud knowledge (AWS, Azure, or GCP) is a plus • Willingness to learn and adapt to new technologies, specifically Databricks & AI/ML

🏖️ Benefits

• Competitive salary and benefits • Opportunity to work on cutting-edge projects • Collaborative and dynamic work environment • Professional growth and development opportunities • Remote work opportunities & flexible hours