Senior Java Big Data Developer

Strong engineering background with a focus on designing software systems from scratch.
Proficiency in Java, Python, or similar programming languages.
Experience working with web-scale data, distributed systems, and cloud infrastructures like AWS.
Expertise in distributed systems, microservices architecture, and big data technologies like Spark and Hadoop.
Hands-on experience with data pipeline orchestration tools like Airflow.
Knowledge of AWS services and tools for infrastructure automation (CI/CD, scaling, testing).
Passion for automation and infrastructure-as-code practices (Packer, Ansible).

Develop and deploy highly available, fault-tolerant software to improve Genesys Cloud Analytics platform features, reliability, and performance.
Design and maintain scalable big data pipelines on AWS using tools like EMR and Airflow.
Collaborate with engineering teams to resolve pain points and advocate for best practices.
Partner with cross-functional teams to transform vague requirements into operational tools and services.
Architect efficient, scalable solutions for data ingestion, storage, and aggregation to support a variety of applications.
Build reusable tooling to enable rapid development of self-service data pipelines for other engineers.
Deploy and automate large-scale global systems in AWS, ensuring robust monitoring and reliability.
Troubleshoot and resolve production issues in real-time as necessary.

Product-oriented mindset, energized by building highly utilized tools and systems.