Senior Data Engineer leading scalable data infrastructure design at Spellbook. Collaborating with distributed teams to transform contract data into actionable insights.
About the role
- Data Engineering Developer responsible for developing metadata products at TELUS. Ensuring integration to upstream and downstream systems and leveraging expertise in cloud architecture and data engineering.
Responsibilities
- Develop and support a variety of integrations, custom and out of the box connectors to ensure reliable and consistent processing to our Metadata Inventory platform
- Develop and support process workflows to ensure technical and business process automation
- Develop reporting and monitoring solutions to ensure platform health
- Administer and configure Collibra Data Intelligence Platform
- Assess various technical solution options related to metadata capabilities and recommend the best approach balancing constraints and future needs
- Monitor, identify and resolve metadata platform and integrations issues impacting platform availability and usability
- Identify and implement automation opportunities in development and production processes to reduce manual effort
Requirements
- 3+ years delivering IT platform implementations in technical roles
- Bachelor of Computer Science, Software Engineering or equivalent
- Strong understanding of Metadata Management, Data Quality, Data Lineage, Data Management and Data Engineering
- Hands on in Windows Operating Systems, Unix, Linux and with GCP Kubernetes (GKE)
- Advanced technical proficiency in metadata management, Collibra’s Data Intelligence Platform
- Experience developing microservices, RESTful APIs, and data processing services using Spring Boot or equivalent frameworks
- Strong SQL proficiency with experience writing complex queries, stored procedures, and working with relational databases
- Strong Working knowledge of security architecture and cloud native development on GCP Cloud (Dataflow, Composer, Cloud Run, Cloud Scheduler, Dataproc, Workflow etc)
- Strong experience and knowledge for data engineering principles and best practices
Benefits
- Comprehensive total rewards package highlighting competitive salary and bonus structures
- Minimum 3 weeks of vacation
- Flexible benefits plan to meet the needs of you and your family
- Flexibility to work in-office, virtually or a combination of both, based on the role's requirements
- Generous company matched pension and share purchase programs
- Opportunity to give back to communities in which we work, live and serve
- Career growth and learning & development opportunities to develop your skills
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