Software Engineer II

We are seeking a Data Engineer (Data Virtualization & CCaaS) to design, build, and support scalable data solutions across hybrid on-premises and cloud environments. The ideal candidate will have hands-on experience with contact center data platforms (CCaaS), data integration, and virtualization frameworks. This role involves collaborating with cross-functional teams to develop reliable data pipelines, enable seamless data access, and support analytics and reporting initiatives that drive operational efficiency and business insights.

Responsibilities :

• Develop and maintain data pipelines to integrate and transform data from Genesys (InfoMart, GAAP, SpeechMiner) and cloud-based CCaaS platforms such as Five9, Google CCAI Platform, and Amazon Connect.
  

• Assist in defining and implementing non-functional requirements, including scalability, resilience, security, compliance, and disaster recovery.
  

• Design, build, and optimize ETL/ELT workflows for high-volume contact center data—leveraging tools like Airflow, Kafka, and Pub/Sub—to ensure data accuracy, consistency, and high performance within virtualized environments.
  

• Support data migration and integration efforts by analyzing on-prem contact center systems, identifying and mapping datasets for cloud migration, and ensuring accurate validation across hybrid environments.
  

• Design and maintain unified data frameworks—including virtualization layers, canonical data models, and warehouse structures—to enable consistent, real-time access and analytics across enterprise systems.
  

• Participate in data validation, migration testing, and post-migration support to ensure data quality and platform stability.
  

• Collaborate with software engineers and product teams to understand business requirements and deliver scalable data solutions.
  

• Implement and manage CI/CD pipelines for data workflows, ensuring smooth deployment and version control.
  

• Troubleshoot and optimize data processes, identifying and resolving issues to maintain performance and reliability.
  

• Stay current with CCaaS technologies and data engineering best practices, continuously enhancing technical knowledge and skills.
  

• Demonstrate a proactive and analytical mindset, with a focus on problem-solving, collaboration, and continuous learning.
  

Qualifications & Skills :

• Bachelor’s degree in computer science or related field with 5+ years of experience in data engineering and contact center technologies.
  

• Expertise in Contact Center platforms, including Genesys (InfoMart, GAAP, GIDB, SpeechMiner) and at least one CCaaS platform such as Five9, Google CCAI, or Amazon Connect.
  

• Proficient in data engineering and integration—building pipelines, warehouses, and ETL/ELT workflows using BigQuery, Airflow, Kafka, or Pub/Sub with strong SQL and data modeling capabilities.
  

• Skilled in programming and automation, with hands-on experience in Python, Java, or Kotlin, RESTful API development, and RDBMS/NoSQL databases (Oracle, PostgreSQL, MongoDB, Cassandra).
  

• Experience with cloud and container technologies, including Google Cloud, AWS, Azure, Docker, and Kubernetes, plus exposure to AI/ML and NLP solutions such as chat and voice bots.
  

• Strong problem-solving, collaboration, and communication skills with a continuous learning mindset and the ability to design scalable, reliable, and efficient data solutions in Agile environments.
  

• Competitive base salaries 
• Bonus incentives 
• Support for financial-well-being and retirement 
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) 
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 
• Generous paid parental leave policies (depending on your location) 
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) 
• Free and confidential counseling support through our Healthy Minds program 
• Career development and training opportunities