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加拿大世界500強(qiáng)外企，金融保險(xiǎn)行業(yè)，千人規(guī)模。
正式員工編制，無出差需求，朝九晚六/朝十晚七（彈性），加班少，周末雙休，10天帶薪年假+12天帶薪病假，另轉(zhuǎn)正后每周有2-3天可申請(qǐng)?jiān)诩肄k公。
工作職責(zé)
-Architect scalable solutions for Personalization, BI, MDM and other data strategy initiatives.
-Providing deep expertise in data modeling and architecture.
-Reducing technical debt, increasing standardization and reusability.
-Bridging functional teams to ensure cohesive data solutions, as well as mentoring junior staff and supervising contingent workers to ensure best practices are met.
任職資格
Education:
Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related field.
Technical Skills: (At least one per each category)
Data Modeling: Conceptual, logical, and physical data models; normalization/denormalization.
Database Technologies: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra), Graph DBs (Neo4j).
ETL/ELT Tools: Informatica, Talend, dbt, Apache NiFi, custom pipelines.
Big Data Ecosystem: Hadoop, Spark, Hive, Kafka.
Cloud Platforms: AWS, Azure, GCP – especially services like Redshift, BigQuery, Synapse, Snowflake.
Programming: Python, Scala, Java, or similar for data engineering tasks.
Architecture Patterns: Data lakehouse, data mesh, event-driven architecture, microservices