Description

You will design, develop, and optimize large-scale data processing applications using Apache Spark and Scala.

This role is on-site.

Responsibilities

• Build and maintain scalable data pipelines, ingestion frameworks, and data management solutions for enterprise platforms.
• Collaborate with stakeholders to analyze data requirements, transformations, and business analytics needs.
• Monitor, troubleshoot, and resolve complex performance and reliability issues across distributed data systems.
• Lead engineering execution by driving roadmap reviews, status reporting, project delivery, and technical best practices.

Required Skills

• 6-8 years of experience in Big Data engineering, distributed systems, and large-scale data platform development.
• Strong hands-on experience with Apache Spark, Scala, and Spark DataFrame APIs.
• Proficiency in SQL and data modeling.
• Experience building and managing large-scale data platforms using AWS/S3 and Iceberg.
• Proficiency with Git and distributed data processing technologies.
• Bachelor’s degree in computer science, Information Technology, Data Engineering, Mathematics, or a related field.

Preferred Skills

• Experience with cloud-based data technologies to ensure efficient data processing solutions.

Key Skills

Education

Any Graduate