Description

Design and maintain scalable data pipelines and software solutions for large-scale systems.

This role is hybrid.

Responsibilities

• Build and optimize ETL/ELT processes and data architectures using Python, Spark, and Kafka.
• Design, develop, and test scalable APIs and data engineering applications.
• Implement CI/CD pipelines and test-driven development (TDD) strategies.
• Deploy and manage cloud-based data solutions on AWS, Azure, or GCP.
• Monitor application performance, security, and reliability for large data volumes.

Required Skills

• 5+ years of experience in software or data engineering.
• Expert proficiency in Python and/or Java.
• Advanced SQL skills and experience with NoSQL databases.
• Hands-on experience with Apache Spark, Kafka, and Hadoop.
• Strong knowledge of AWS, Azure, or GCP cloud infrastructure.
• Experience with Docker and Kubernetes.

Preferred Skills

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.

Key Skills

Education

Any Graduate