Data Engineer
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Experience
- 4+ years of Data Engineering experience
- Posting language
- English
- Posted
Original job description
Skills & Qualifications:
•4+ years of Data Engineering experience
•Advanced SQL; experience with relational and NoSQL databases
•Strong experience with Snowflake, Hadoop, Spark, PySpark, Databricks, Azure
•Proficiency in Python for data engineering
•Familiarity with orchestration tools and workflow management systems
Responsibilities:
•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 using Snowflake, Hadoop, Spark, PySpark, and Azure, while optimizing workflows for large financial datasets. Write maintainable Python and SQL code and incorporate data governance, metadata management, and lineage tracking into solutions.
Requirements
Requires 4 or more years of data engineering experience, advanced SQL skills, and experience with relational and NoSQL databases. Candidates should have strong experience with Snowflake, Hadoop, Spark, PySpark, Databricks, and Azure, proficiency in Python, and familiarity with orchestration and workflow management tools.
Skills
- Data Engineering
- SQL
- Relational Databases
- NoSQL Databases
- Snowflake
- Hadoop
- Spark
- PySpark
- Databricks
- Azure
- Python
- Data Pipelines
- Data Architecture
- Data Governance
- Metadata Management
- Data Lineage
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Finance & Accounting
Keywords
- Data Engineering
- SQL
- Relational Databases
- NoSQL Databases
- Snowflake
- Hadoop
- Spark
- PySpark
- Databricks
- Azure
- Python
- Data Pipelines
- Data Architecture
- Financial Datasets
- Workflow Optimization
- Orchestration
- Workflow Management
- Data Governance
- Metadata Management
- Data Lineage
- Information Technology