Build and optimize scalable data pipelines and cloud-based data solutions using Python, PySpark, SQL, and Snowflake. Integrate REST APIs and external data sources, develop ETL/ELT workflows, optimize Snowflake queries, and implement data quality, validation, monitoring, and automation. Collaborate with engineering and analytics teams to deliver reliable data platforms.
Job Description
Data Engineer - Python, PySpark, SQL, Snowflake & API Integration
Job Description:
We are seeking a skilled Data Engineer with strong hands-on experience in Python, PySpark, SQL, Snowflake, and API integrations to build scalable data pipelines and cloud-based data solutions.
Key Responsibilities:
- Design, develop, and optimize data pipelines using Python, PySpark, SQL, and Snowflake.
- Integrate REST APIs and external data sources into Snowflake-based data platforms.
- Build and maintain ETL/ELT workflows for data ingestion, transformation, and processing.
- Develop efficient SQL queries and optimize Snowflake performance.
- Implement data quality, validation, monitoring, and automation.
- Collaborate with engineering and analytics teams to deliver reliable data solutions.
Required Qualifications:
- 3+ years of experience in Data Engineering.
- Strong hands-on expertise in Python, PySpark, SQL, and Snowflake.
- Experience with REST APIs, JSON, and API-based data integration.
- Knowledge of ETL/ELT processes, data modeling, and data warehousing.
- Experience with cloud platforms such as AWS, Azure, or GCP is preferred.
Additional Information
All your information will be kept confidential according to EEO guidelines.
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The capital city of Canada and the nation's fourth-largest urban area, Ottawa has proven a rapidly growing global tech hub. With over 1,800 tech companies, many of which are leaders in their sectors, the city's tech talent now makes up more than 13 percent of its total workforce. This growth is driven not only by the big players like UL Solutions and Dropbox, but also by a thriving startup ecosystem, as new businesses emerge to follow in the footsteps of those that came before them.
