Job VC
Senior Data Engineer
Technologies
Description
Job 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.
Responsibilities
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)
Nice to have:
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
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.
Responsibilities
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)
Nice to have:
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