Gcp Data Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a GCP Data Engineer based in Canada.
This role offers the opportunity to design, develop, and optimize modern data solutions that support critical healthcare technology platforms.You will contribute to building reliable data infrastructure, enabling real-time insights and operational improvements.Working within a collaborative Data Engineering environment, you will leverage cloud technologies, automation, and DevOps practices to solve complex challenges.The position combines hands-on engineering, problem-solving, and innovation to improve data availability, scalability, and performance.You will collaborate with internal teams and external partners to deliver solutions that enhance platform reliability and user experience.This is an ideal opportunity for a data professional passionate about cloud technologies, big data, and impactful digital transformation.
Accountabilities:As a GCP Data Engineer, you will be responsible for designing, implementing, and supporting data engineering solutions that improve platform performance, reliability, and operational efficiency. You will work closely with technical teams and stakeholders to build scalable data capabilities and drive continuous improvement.
Design, develop, and maintain data engineering solutions using cloud-based technologies and modern data platforms.
Build and optimize data pipelines, processing workflows, and data models to support analytics and operational needs.
Leverage DevOps principles to evaluate, implement, and improve data infrastructure solutions.
Develop and maintain real-time data processing solutions using streaming technologies.
Support database environments, including performance optimization, troubleshooting, and reliability improvements.
Work with cloud services to enhance automation, scalability, and operational efficiency.
Collaborate with internal teams and strategic partners to understand requirements and deliver effective solutions.
Identify opportunities to automate processes and improve data engineering workflows.
Monitor, analyze, and enhance operational tools and solutions to improve system reliability.
Contribute to continuous improvement initiatives focused on efficiency, quality, and customer impact.
Requirements:The ideal candidate is an experienced data engineer with strong cloud expertise, analytical skills, and the ability to build scalable data solutions. You should be comfortable working independently, collaborating with cross-functional teams, and adapting quickly to evolving technologies.
Experience working with cloud infrastructure, particularly Google Cloud Platform (GCP);
AWS experience is also valuable.
Strong experience with data engineering concepts, including data pipelines, data processing, and data management.
Hands-on experience with GCP services such as BigQuery, Cloud Storage, Cloud Dataflow, and Dataproc.
Strong knowledge of SQL, stored procedures, and data modeling techniques.
Experience with relational and NoSQL databases such as Oracle, MySQL, MSSQL, and MongoDB.
Expertise with real-time data processing technologies, including Apache Flink and Apache Kafka.
Experience with Python-based data processing frameworks and PySpark.
Familiarity with modern big data storage technologies such as Iceberg, Hudi, or Delta.
Experience with Terraform or infrastructure-as-code practices.
Knowledge of query optimization, resource management, and data lake performance improvements.
Strong analytical, troubleshooting, and problem-solving abilities.
Ability to manage priorities, work independently, and collaborate effectively within distributed teams.
Excellent written and verbal English communication skills.
Benefits:
Fully remote work opportunity within Canada.
Opportunity to contribute to impactful healthcare technology solutions.
Exposure to modern cloud, data engineering, and automation technologies.
Collaborative environment with experienced technical specialists and strategic partners.
Opportunities to work on innovative projects involving real-time data and analytics.Professional growth through continuous learning and exposure to emerging technologies.
Opportunity to improve systems that directly support operational teams and end users.
Flexible and dynamic work environment focused on innovation and reliability.
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