Quantrics Enterprises Inc.
Quantrics Enterprises Inc. is a leading global provider of customer solutions, specializing in world-class customer care, IT, and software solutions. Committed to a people-first approach, Quantrics focuses on creating career growth opportunities for its employees while delivering customer satisfaction. The company's culture emphasizes diversity, community involvement, and excellence, making it a recognized entity in the digital services industry.
Information Technology • Customer Experience
Senior Data Engineer - Wireless Network AI & Automation
January 16
Apache
BigQuery
Cloud
Google Cloud Platform
Hadoop
Java
Kafka
Kubernetes
NoSQL
Python
Scala
SDLC
Shell Scripting
Spark
SQL
Go
Quantrics Enterprises Inc.
Quantrics Enterprises Inc. is a leading global provider of customer solutions, specializing in world-class customer care, IT, and software solutions. Committed to a people-first approach, Quantrics focuses on creating career growth opportunities for its employees while delivering customer satisfaction. The company's culture emphasizes diversity, community involvement, and excellence, making it a recognized entity in the digital services industry.
Information Technology • Customer Experience
📋 Description
• Join our award-winning IT team as we lead the way in digital, cloud, and security technology services. • Deliver innovative solutions for our biggest client, Canada’s leading telecommunications, tech, and media corporation. • Play a critical role in designing, developing, and operating scalable and efficient data pipelines. • Collaborate with cross-functional teams translating business requirements into performant data pipelines with service level objectives (SLOs). • Drive best practices in data engineering, ensuring high code quality, maintainability, and user documentation. • Leverage cloud technologies with a focus on Google cloud services such as BigQuery, Dataflow, and Pub/Sub. • Optimize data pipelines for end-to-end performance, reliability, security, and resource-efficiency. • Develop and implement monitoring, alerting, and incident response processes for data pipeline systems and infrastructure. • Assure the operations of data pipelines through 24-7 monitoring of data service level indicators (SLIs). • Assure the performance of data infrastructure, ensuring 99.99% high availability. • Provide DevOps mentorship and guidance to team members. • Contribute to the development of data systems disaster recovery plans and conduct regular compliance validation drills. • Mentor and coach junior data engineers, fostering a culture of continuous improvement and learning.
🎯 Requirements
• Minimum Required Skills & Experience: • Bachelor’s degree in computer science, Software Engineering, or related field; advanced degree preferred. • 4+ years of experience in engineering and operating end-to-end data systems across multi-cloud environments, with expertise in GCP. • 4+ years of proven experience in software architecture and design, driving the technical direction of projects. • 4+ years of expertise in on-premises data engineering utilizing technologies such as Hadoop, Kubernetes, and Kafka. • 4+ years of experience using Scala, Apache Spark, Apache Kafka, SQL/NoSQL, Shell scripting, Python, and Hadoop frameworks. • At least 2 years of hands-on experience in streaming batch processing technology using Apache Kafka and cloud platform using Google Cloud Platform. • At least 2 years of hands-on experience building data pipeline in Java and Python, and applying CI/CD automation within data pipeline SDLC. • Nice to have: Knowledge of Database design, optimization, and performance tuning Site Reliability Engineering or Software System performance optimization.
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