Job Description
What we want:

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 productive 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 settings.

• 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.

• Robust knowledge of Hadoop ecosystem tools including Hadoop, Hive, Impala, Spark, Spark Streamin

📌 Big Data Engineer Airoli
🏢 Vertoz
📍 Airoli