Big Data Engineer - Vertoz

Vertoz; Mumbai; On-site; INR 900,000 - 1,200,000; Full time

Job summary

Vertoz is seeking a skilled Big Data Engineer in Mumbai to design, develop, and maintain scalable big data solutions. This role involves working with the Hadoop ecosystem, cloud-based platforms, and real-time data processing.

The ideal candidate will have at least 1 year of experience and strong knowledge of Big Data frameworks like Spark and Kafka. This position offers the opportunity to work in a fast-paced environment while ensuring data reliability and performance optimization.

Qualifications

• 1+ year of hands-on experience with Big Data technologies.
• Strong knowledge of Hadoop ecosystem tools.
• Experience with batch and real-time data processing frameworks.

Responsibilities

• Design, develop, and maintain scalable Hadoop-based applications.
• Implement and manage batch and real-time data processing.
• Collaborate with teams for data reliability and optimization.

Skills

Hadoop

Spark

Kafka

SQL

Python

Tools

Cloudera

Hive

Impala

Superset

Job description

Airoli, Navi Mumbai, India | Posted on 06/26/2026

We are looking for a skilled Big Data Engineer to design, develop, and maintain scalable big data solutions. The role involves working with Hadoop ecosystems, real-time and batch data processing frameworks, and cloud-based platforms. The ideal candidate will contribute to end-to-end data architecture, ensure efficient data processing, and collaborate with cross-functional teams to deliver reliable and high-performance data solutions.

Who We are:

Vertoz (NSEI: VERTOZ) is an AI-powered MadTech and CloudTech platform offering Digital Advertising, Marketing & Monetization (MadTech) and Digital Identity and Cloud Infrastructure (CloudTech) solutions. We cater to Businesses, Digital Marketers, Advertising Agencies, Digital Publishers, Cloud Providers, and Technology companies.

What you will do:

• Design, develop, and maintain scalable Hadoop-based applications and data pipelines.
• Work on documentation, system design, development, and architecture of big data solutions.
• Implement and manage batch and real-time data processing using Spark, Spark Streaming, Kafka, and related technologies.
• Develop efficient data workflows using Hadoop ecosystem tools such as Hive, Impala, and HDFS.
• Work with stream-processing frameworks including Spark Streaming, Storm, and Flume.
• Integrate and manage data across relational SQL and NoSQL databases, including Vertica.
• Support deployment and operations in cloud-based environments.
• Perform cluster management and monitoring using Cloudera Hadoop Distribution and related tools.
• Write and maintain shell scripts to automate operational tasks.
• Collaborate with teams to ensure data reliability, performance optimization, and scalability.
• Support data visualization and analytics using tools such as Superset.

Requirements

• 1+ year of hands‑on experience working with Big Data technologies.
• Strong knowledge of Hadoop ecosystem tools including Hadoop, Hive, Impala, Spark, Spark Streaming, and Kafka.
• Experience with batch and real-time data processing frameworks.
• Proficiency in at least one programming language: Java, Python, or Scala.
• Experience with stream‑processing systems such as Spark Streaming, Storm, or Flume.
• Good understanding of relational SQL and NoSQL databases, including Vertica.
• Exposure to cloud services and distributed systems.
• Hands‑on experience with Cloudera Hadoop Distribution and cluster management.
• Basic to intermediate shell scripting skills.
• Strong problem‑solving skills and ability to work in a fast‑paced environment.