Data Engineer / Senior Data Engineer
v4c.ai
Data Engineer / Senior Data Engineer
v4c.ai
AI governance and Dataiku migration advisory
V4C.ai · Pune, India (Remote) · — · Posted 2026-07-23
Workplace: remote
Job Summary:
We're seeking an experienced Data Engineer/ Sr Data Engineer / Lead Data Engineer
With expertise in data engineering across major data platforms. The ideal candidate will have a
strong background in Python, SQL, ETL, and data modeling, with experience in tools like
Teradata, Informatica, Hadoop, Spark, PySpark, ADF, Snowflake, and Big Data. Cloud
knowledge (AWS, Azure, or GCP) is a plus. The role requires a willingness to transition and
upskill into Databricks & AI/ML projects.
Key Responsibilities:
● 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
Nice to Have:
● Experience with Databricks
● Knowledge of AI/ML concepts and tools
● Certification in relevant technologies
What We Offer:
● 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
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V4c.ai provides advisory services to help organizations adopt and scale AI/ML, focusing on AI governance and data governance. By partnering with Dataiku, it delivers end-to-end solutions including migration, scalable MLOps, and practical generative AI implementations across sectors like retail and healthcare. The approach combines strategic guidance, governance models, and hands-on migration to Dataiku, with reusable MLOps pipelines and governance practices that drive measurable business value. Its goal is to accelerate ROI and optimize AI performance by making governance practical, trusted, and aligned with business strategy.
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