Senior Data Engineer responsible for maturing strategic data assets across cloud analytics in the financial services sector. Collaborating with business stakeholders and data engineering teams to ensure data compliance and readiness.
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Senior Python Data Engineer
Posted via LinkedIn Recruiter (not a company profile)
Posted last month
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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