Senior Data Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Design, develop, and support databases that underpin IVR and contact center systems.

• Provide support for databases utilized by runtime IVR services as well as analytics platforms.

• Create and maintain relational data models for IVR event data, routing information, and call statistics.

• Write, update, and enhance SQL for application logic, configuration modifications, and investigations.

• Ensure the availability, integrity, performance, and scalability of databases in production settings.

• Aid in the storage and accessibility of IVR event logs, call lifecycle records, and routing results for analytical and reporting purposes.

• Monitor production databases and troubleshoot issues while assisting with incident investigations.

• Work collaboratively with architects, application developers, DevOps, QA, and Analytics teams to implement platform enhancements.

⛳️ Requirements

• Over 5 years of experience as a Data Engineer.

• Strong expertise in SQL, including complex joins, window functions, query optimization, and processing large datasets.

• Practical experience with AWS-hosted relational and NoSQL databases.

• Solid background in relational data modeling for both transactional and analytical systems.

• Experience with event-driven data and backend systems that produce high volumes of interaction data.

• Extensive knowledge of AWS.

• Ability to build and maintain scalable ETL/ELT pipelines for data ingestion and transformation.

• Proficient in Python (or Golang/Java/Scala).

• Familiarity with Git/GitHub, CI/CD, IaC (CloudFormation/Terraform), and containerization (Docker, Kubernetes).

• Preferred: Experience with Apache Spark, Spark Streaming, or Kafka.

• Experience with IVR platforms or voice systems, or telecom data.

• Knowledge of Amazon Aurora MySQL and Amazon Redshift.

• Familiarity with relational and analytical database technologies, such as PostgreSQL or cloud-based data warehouses.

• Scripting abilities 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 over 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: take advantage of the flexibility that remote work provides.

• Growth mindset: benefit from a variety of professional development opportunities, including certification programs, mentorship, talent investment programs, and internal mobility and internship opportunities.

• Global impact: collaborate on meaningful projects for top global clients and help shape the future of industries.

• Welcoming multicultural environment: be part of a dynamic, global team and thrive in an inclusive and supportive workplace with open communication and regular team-building social events.

• Social sustainability values: engage in our sustainable business practices that focus on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.