Data Engineer / Senior Data Engineer (B)
V4C.ai Open · verified Oct 24, 2026 At a glance
Senior Data Engineering role at V4C.ai. Remote, India.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain large data systems, then improve their performance when issues arise
- Create ETL workflows with the tools and technologies used on the team
- Shape data models with other teams and develop efficient pipelines for moving data
- Use Hadoop, Spark, PySpark or Kafka in big-data work, and grow into Databricks and AI/ML projects
What you bring
- You have relevant experience in data engineering, with strong Python, SQL, ETL and data-modeling skills
- You have worked with Teradata, Informatica or another listed data platform or technology
- You are ready to learn Databricks and take on AI/ML work
Who this fits
This role suits a data engineer ready to grow into Databricks and AI/ML projects. It is remote, with flexible hours.
From the employer
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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