Senior Data Engineer

Role Description

The Senior Data Engineer is responsible for designing, developing, and supporting databases that power a large-scale IVR and contact center platform. The role is focused on backend database engineering and is aimed at building reliable, high-performing, and scalable data layers that support both runtime IVR systems.

The engineer works closely with IVR Engineers, Application Architects, DevOps, and Data Analytics teams to ensure correct data storage, availability, and consistency for call flows, routing logic, and IVR event data. This role is critical for ensuring platform stability, supporting complex backend investigations, and enabling long-term scalability of the IVR solution.

• Design, develop, and maintain databases supporting IVR and contact center systems
• Support databases used by both runtime IVR services and analytics platforms
• Design and maintain relational data models for IVR event, routing, and call data
• Write, maintain, and optimize SQL for application logic, configuration changes, and investigations
• Ensure database availability, integrity, performance, and scalability in production environments
• Support storage and availability of IVR event logs, call lifecycle data, and routing outcomes for analytics and reporting
• Monitor and troubleshoot production databases and support incident investigations
• Collaborate with architects, application developers, DevOps, QA, and Analytics teams on platform changes and improvements

Qualifications

• 5+ years of experience as a Data Engineer
• Strong proficiency in SQL, including complex joins, window functions, query optimization, and large dataset processing
• Hands-on experience with AWS hosted relational and NoSQL databases
• Solid experience in relational data modeling for transactional and analytical systems
• Experience working with event-based data and backend systems generating high volumes of interaction data
• Strong experience with AWS
• Build and maintain scalable ETL/ELT pipelines for ingestion and transformation
• Strong Python (or Golang/Java/Scala)
• Knowledge of Git/GitHub, CI/CD, IaC (CloudFormation/Terraform), and containerization (Docker, Kubernetes)

Requirements

• Experience with Apache Spark, Spark Streaming, or Kafka
• Experience working with IVR platforms or voice systems, or telecom data
• Experience with Amazon Aurora MySQL and Amazon Redshift
• Experience with relational and analytical database technologies such as PostgreSQL or cloud-based data warehouses
• Scripting skills in Python or Shell for automation and support tasks
• Background in customer experience analytics
• AWS Certified Data Engineer

Benefits

• Culture of relentless performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth.
• Competitive pay and benefits: enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program.
• ForeverRemote work culture: make the most of the flexibility that comes with remote work.
• Growth mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities.
• Global impact: collaborate on impactful projects for top global clients and shape the future of industries.
• Welcoming multicultural environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events.
• Social sustainability values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.