Senior Data Engineer - Snowflake & DBT Cloud
Summary
Senior data engineer delivering high-impact data projects on Snowflake and dbt Cloud (Core) within AWS, coding in Python, Java, SQL, Shell, and Terraform, with Snowflake AI/ML and data science work and orchestration via Airflow/Zena. Hybrid role in Markham: 2 mandatory office days (Tue/Wed) plus 1 flexible day.
Working model Hybrid 3 days Work From Office 2 days mandatory Tue Wed 1 day flexible any day from Mon Thu Fri
Primary Skills
Extensive Experience of professional experience delivering over 10 high-impact data projects from inception through warranty
5 years of Snowflake, dbt Core, Cloud, and AWS Cloud Technologies
5 years of experience with coding in multiple programming languages such as Python and Java
Deep knowledge of relational databases Snowflake PostgreSQL Amazon Aurora
Skilled in tools such as Snowsight Streamlit
Proficiency in SQL Python Shell and Terraform with a strong focus on performance reusability and maintainability
Presentation Communication Strong technical and business presentation skills able to identify and address gaps in data designs and processes with both internal and external stakeholders
Pipeline Orchestration Tools Handson experience with orchestration tools like Zena and AWS Managed Airflow
Resilience Adaptability Proven ability to thrive in fastpaced ambiguous and highpressure environments
Required
Certifications having 2 Or More Is An Asset
SnowPRO Core
SnowPRO Advanced Data Engineer DEAC01 DEAC02
SnowPro Advanced Architect ARAC01
Qlik SAP BusinessObjects to communicate insights effectivey
Mandatory Skills : Snowflake AI/ML, Snowflake-Data Science
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