Data Engineer - Snowflake / Hadoop
- Toronto, ON, Canada
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Job details
- Job type
- Contract
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- Posting language
- English
- Posted
Original job description
- Design, build, and maintain scalable data pipelines using Snowflake, Hadoop, Spark, PySpark, Azure
- Implement data architectures and optimize workflows for large financial datasets
- Write high-quality, maintainable Python and SQL code following best practices
- Integrate data governance, metadata management, and lineage tracking into solutions
More about this job
Responsibilities
Design, build, and maintain scalable data pipelines and architectures for large financial datasets using Snowflake, Hadoop, Spark, PySpark, and Azure. Write maintainable Python and SQL code, optimize workflows, and incorporate data governance, metadata management, and lineage tracking.
Requirements
The role calls for mid-to-senior-level data engineering experience and the ability to work with Snowflake, Hadoop, Spark, PySpark, and Azure. It also requires strong Python and SQL coding practices and familiarity with data governance, metadata management, and lineage tracking.
Skills
- Snowflake
- Hadoop
- Spark
- PySpark
- Azure
- Python
- SQL
- Data Pipeline Development
- Data Architecture
- Workflow Optimization
- Data Governance
- Metadata Management
- Data Lineage
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Finance & Accounting
- Consulting
Keywords
- Snowflake
- Hadoop
- Spark
- PySpark
- Azure
- Python
- SQL
- Data Engineering
- Data Pipelines
- Scalable Data Systems
- Data Architecture
- Workflow Optimization
- Financial Datasets
- Data Governance
- Metadata Management
- Data Lineage
- IT Services
- IT Consulting
- Contract