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
Senior Python Data Engineer
Posted via LinkedIn Recruiter (not a company profile)
Posted 7 months ago
About the role
- Senior Python Data Engineer contract role in Toronto, ON (Hybrid). Requires 8+ years experience, strong Python and SQL skills, and cloud-native tech expertise.
Responsibilities
- Senior Python Data Engineer role focusing on data engineering, ETL processes, and cloud-native technologies. Responsibilities include data transformation, pipeline development, and working with various architecture patterns like message-based ETL, real-time programming, and scheduled batch processing.
Requirements
- Must-Have: 8+ years as Developer/Data Engineer/Software Engineer. 3+ years recent hands-on Python experience. Strong SQL, data transformation & manipulation skills. Nice-to-Have: Exposure to various architecture patterns and design such as message based ETL SQL batch, real time programming, schedule-based batch. Proficiency with Pandas Dataframe and Numpy. Experience with cloud-native technologies (GCP, Google Cloud Functions, BigQuery, DataFlow, Spark, DataProc, Pub/Sub, CLI, shell scripting). Familiarity with Kubernetes, Docker, Terraform. Experience with scheduling tools like Airflow, Tidal. Experience with Object Oriented Design, parametrization (Jinja2). Experience with Python best practices and Git/Bitbucket best practices. Retail credit risk experience.
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