About the Company

Amdocs is a global leader in software products and services for communications and media companies. With over four decades of experience, Amdocs enables businesses to deliver exceptional customer experiences through reliable, scalable, and secure technology solutions. Operating at a massive scale, Amdocs supports billions of transactions daily, helping organizations enhance network performance, modernize cloud infrastructure, and drive revenue growth.

The company fosters a culture of innovation, collaboration, and continuous learning. With a strong emphasis on empowering employees, Amdocs encourages individuals to “Live Amazing, Do Amazing” by making meaningful contributions while growing professionally and personally.

Introduction

We are seeking a highly motivated Software Developer to join the Data Platform team. This role focuses on designing and building scalable data solutions using modern cloud technologies and AI-driven systems. The ideal candidate will work on large-scale data pipelines, distributed systems, and cutting-edge data engineering tools, contributing to mission-critical platforms used globally.

This is an excellent opportunity for candidates passionate about data engineering, distributed systems, and emerging technologies like Generative AI.

Key Responsibilities

Data Engineering & Development

Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
Build robust data ingestion, transformation, and storage systems for structured and unstructured data.
Develop high-performance distributed systems for large-scale data processing.

System Optimization & Monitoring

Implement frameworks to monitor, troubleshoot, and ensure data quality and integrity.
Optimize performance of data processing systems and workflows.
Ensure reliability and scalability of data platforms across cloud environments.

Cloud & Platform Development

Develop and manage large-scale data storage solutions such as Data Lakes.
Work with cloud platforms (AWS, Azure, or GCP) to build scalable infrastructure.
Leverage distributed technologies like Spark and Kafka for efficient data processing.

Innovation & Collaboration

Stay updated with emerging trends in data engineering, AI, and GenAI.
Collaborate with cross-functional teams to design and implement data solutions.
Recommend improvements to systems, tools, and workflows.

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, or a related field.
Strong proficiency in Python and SQL.
Experience with Apache Spark (PySpark preferred).
Solid understanding of distributed systems and data engineering principles.
Hands-on experience with tools such as Databricks, Kafka, Docker, and Kubernetes.
Strong analytical and problem-solving skills.
Excellent communication and collaboration abilities.

Preferred Qualifications

Experience with Java, Spring Boot, or microservices architecture.
Familiarity with CI/CD pipelines and DevOps practices.
Exposure to cloud platforms such as AWS, Azure, or Google Cloud.
Experience building AI-powered tools or working with Generative AI APIs.
Knowledge of large-scale data storage systems and real-time processing frameworks.

Why Join Us / Benefits

Work on cutting-edge technologies in data engineering and Generative AI.
Opportunity to build scalable systems used by global enterprises.
Collaborative and innovation-driven work environment.
Continuous learning and professional growth opportunities.
Exposure to modern cloud platforms and distributed technologies.
Be part of a global organization driving digital transformation at scale.