Staff Data Engineer building pipelines, models, and infrastructure for exacare ai’s post - acute care AI platform. Turning healthcare data into reliable foundations for product, analytics, and ML workflows.
LP
Data Engineer – Cloud / GCP
Posted via LinkedIn Recruiter (not a company profile)
Posted 8 months ago
About the role
- Data Engineer role focusing on GCP to build scalable data pipelines for global analytics. Hybrid position in Toronto requiring bilingual English/Spanish skills.
Responsibilities
- Build and maintain modern ELT/ETL data pipelines from scratch. Integrate and orchestrate workflows using Airflow and cloud-native tools. Apply SQL & Python to manipulate, clean, and validate large datasets. Support CI/CD pipelines using GitHub, Bitbucket, and Terraform. Conduct data quality checks and monitor pipeline performance. Translate technical concepts for non-technical stakeholders.
Requirements
- Must-Have Skills: 3–4 years in ELT/ETL data pipelines. 2–4 years with GCP and Airflow. 3+ years with CI/CD pipelines and source control (GitHub, Bitbucket, Terraform). 2–4 years in data modeling, SQL, and Python. Bilingual: English/Spanish mandatory. Nice-to-Have: Power BI or other visualization tools. Experience with DevOps or Agile/Scrum teams. Banking or FI sector experience.
Benefits
- Work at the center of a data modernization journey for a global financial program. Make a real impact by shaping data-driven insights across multiple geographies. Hybrid work environment with flexible collaboration.
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