Big Data Developer Vertoz

Mumbai - India

Monthly Salary: Not Disclosed

Experience Required: 1-3years

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Job Summary

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 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.

Benefits

No dress codes

Flexible working hours

5 days working

24 Annual Leaves

International Presence

Celebrations

Team outings

Required Skills:

Requirements: Experience: 10-15 years in marketing growth strategy or related roles. Education: Bachelors degree in Marketing Communications Business or a related field (MBA preferred). Skills: Expertise in SEO SEM Google Analytics CRM and marketing automation tools. Strong understanding of customer lifecycle marketing demand generation and lead nurturing. Exceptional content creation storytelling and brand-building skills. Experience in budget management KPI-driven marketing execution and revenue growth strategies. Strong leadership and communication skills to mentor teams and collaborate across departments. Experience in B2B marketing AdTech MarTech SaaS or similar industries is preferred.

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 a...