Data Engineer (Cloud) (Toronto)

Data Engineer (Cloud) (Toronto)

03 Nov
|
Cloudious
|
Toronto

03 Nov

Cloudious

Toronto

Role Data Architect Location Canada Aviva Client location Markham Office Working model Hybrid 3 days Work From Office 2 days mandatory Tue Wed 1 day flexible any day from Mon Thu Fri Architect and implement advanced data solutions using Snowflake on AWS ensuring scalable secure and highperformance data environments Extensive experience 8 years in data architecture and engineering with a proven track record in largescale data transformation programs ideally in insurance or financial services Proven experience in architecting and implementing advanced data solutions using Snowflake on AWS Expertise in design and orchestrating data acquisition pipelines using AWS Glue for ETLELT Snowflake OpenFlow and Apache Airflow for workflow automation enabling seamless ingestion of different data from diverse sources Handson experience with AWS Glue for ETLELT Apache Airflow for orchestration and dbt for transformation preferably deployed on AWS ECS Proficiency in SQL data modelling ETLELT processes Proven experience in DBT to manage and automate complex data transformations within Snowflake ensuring modular testable and versioncontrolled transformation logic Experience in implementing the lake house solution Medallion architecture for financial or insurance carriers Experience in optimizing and tune Snowflake environments for performance cost and scalability including query optimization and resource management Experience in evaluating the data technology platform including data governance suites data security products Develop robust data models and data pipelines to support data transformation integrating multiple data sources and ensuring data quality and integrity Document architecture data flows and transformation logic to ensure transparency maintainability and knowledge sharing across teams Strong knowledge of data lifecycle mgmt data retention data modelling and working knowledge of cloud computing and modern development practices Familiarity with data mesh principles data product delivery and up-to-date data warehousing paradigms Experience in Designing Streamlit apps and define new capabilities and data products leveraging snowflake ML and MLOPS capabilities Knowledge of scripting languages PythonJava Experience with data governance metadata management and data quality frameworks eg Collibra Informatica Exposure to enterprise Datawarehouse solution like Cloudera AWS Redshift and informatica tool sets IDMC powercenter BDM #

📌 Data Engineer (Cloud) (Toronto)
🏢 Cloudious
📍 Toronto

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