Data Engineer
- Toronto, ON, Canada
Contract
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Job details
- Job type
- Contract
- Apply by
- Experience
- 4+ years of Data Engineering experience
- Posting language
- English
- Posted
Original job description
Title: Data Implementation Engineer
Location: Toronto, Canada
Duration: 6-12 months and then keep renewing based on performance/requirements
Hybrid 3 days from client office in Ethoca office
Key Skills: Snowflake, PySpark, Azure, DevOps
Domain: BFSI preferred
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
This job is open for fulltime as well.
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 at least four years of data engineering experience, advanced SQL, 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; BFSI experience is preferred.
Skills
- Snowflake
- PySpark
- Azure
- DevOps
- Data Engineering
- SQL
- Relational Databases
- NoSQL Databases
- Hadoop
- Spark
- Databricks
- Python
- Data Pipeline Development
- Data Orchestration
- Data Governance
- Metadata Management
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Finance & Accounting
- Consulting
Keywords
- Data Engineering
- Data Implementation Engineer
- Snowflake
- PySpark
- Azure
- DevOps
- BFSI
- SQL
- Relational Databases
- NoSQL Databases
- Hadoop
- Spark
- Databricks
- Python
- Data Pipelines
- Data Architecture
- Financial Datasets
- Data Orchestration
- Workflow Management
- Data Governance
- Metadata Management
- Data Lineage
- IT Services
- IT Consulting