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Added 7 hours ago
TC
Data Engineer - Python, PySpark, SQL, Snowflake & API Integration
TechNeptune Consulting Inc.
Canada
- Contract
Added 4 days ago
TC
Python Developer
TechNeptune Consulting Inc.
Mississauga, ON
- Full-time
Added 5 days ago
TC
Artificial Intelligence Engineer
TechNeptune Consulting Inc.
Mississauga, ON
- Full-time
Added 6 days ago
TC
Java Software Engineer
TechNeptune Consulting Inc.
Canada
- Contract
Added 6 days ago
TC
Observability Engineer
TechNeptune Consulting Inc.
Montreal, QC · Greater Montreal Metropolitan Area
- $65 to $75 CAD / hour
- Contract
Added 10 days ago
TC
Python Developer
TechNeptune Consulting Inc.
Mississauga, ON
- Full-time
Added 11 days ago
TC
SRE/DevOps Engineer with strong Kubernetes Experience
TechNeptune Consulting Inc.
Canada
- Full-time
Added 11 days ago
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Big Data Developer
TechNeptune Consulting Inc.
Mississauga, ON
- Full-time

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TechNeptune Consulting Inc.

Data Engineer - Python, PySpark, SQL, Snowflake & API Integration

Canada

Contract

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Job details

Job type: Contract
Experience: 3+ years of experience in Data Engineering.
Posting language: English
Posted: Oct 26, 2026

Original job description

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.

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More about this job

Responsibilities

Design, build, and optimize scalable data pipelines and ETL/ELT workflows using Python, PySpark, SQL, and Snowflake, integrating REST APIs and external data sources. Implement data quality, validation, monitoring, and automation, and collaborate with engineering and analytics teams to deliver reliable data solutions.

Requirements

Requires at least 3 years of data engineering experience and strong hands-on expertise in Python, PySpark, SQL, and Snowflake. Candidates should have experience with REST APIs, JSON, API-based integration, ETL/ELT, data modeling, and data warehousing; experience with AWS, Azure, or GCP is preferred.

Skills

Python
PySpark
SQL
Snowflake
REST APIs
API Integration
JSON
ETL/ELT
Data Pipelines
Data Modeling
Data Warehousing
Data Quality
Performance Optimization
Cloud Platforms
AWS
Azure

Visa sponsorship

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Keywords

Data Engineering
Python
PySpark
SQL
Snowflake
REST APIs
API Integration
JSON
External Data Sources
Data Pipelines
ETL/ELT
Data Ingestion
Data Transformation
Data Processing
SQL Query Optimization
Snowflake Performance
Data Quality
Data Validation
Monitoring
Automation
Data Modeling
Data Warehousing
Cloud Platforms
AWS
Azure
GCP
Analytics

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