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Added 10 hours ago
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Automation & Manual QA Engineer
Querentia Inc.
Remote, Canada
- Contract
- Remote
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Supply Chain Consultant (Healthcare)
Querentia Inc.
Remote, Canada
- Contract
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Querentia Inc.
Calgary, AB
- Contract
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Querentia Inc.
Calgary, AB
- Contract
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Querentia Inc.
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SAP Practice Lead
Querentia Inc.
Toronto, ON
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Automation & Manual QA Engineer
Querentia Inc.
Remote, Canada
- Contract
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The ideal candidate must have extensive hands-on expertise in C# test automation , API testing , and Postman
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Manufacturing Strategy & Smart Operations Consultant
Querentia Inc.
Montréal, QC
- Contract
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Databricks Data Engineer
Querentia Inc.
Remote, Canada
- Contract
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Querentia Inc.
Remote, Canada
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Querentia Inc.
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Querentia Inc.
Toronto, ON
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Querentia Inc.
Brampton, ON
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Senior Data Engineer – Marketing Operations
Querentia Inc.
Remote, Canada
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Guidewire Business Analyst
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Ottawa, ON
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Querentia Inc.

Databricks Data Engineer

Remote, Canada

Remote

Contract

Apply on querentia.com About employer

Applications open in a new tab.

Job details

Job type: Contract
Workplace: Remote
Apply by: Jan 8, 2027
Remote eligibility: Canada listed. Check the posting for province restrictions.
Posting language: English
Posted: Jul 10, 2026

Original job description

Job Summary

We are seeking a hands-on Databricks Data Engineer with experience building scalable data pipelines and supporting cloud-based data engineering initiatives. The ideal candidate will have strong expertise in Databricks, Apache Spark, Python, and SQL , with experience developing ETL/ELT workflows across cloud platforms.

Key Responsibilities

Design, develop, and manage scalable data pipelines using Databricks .

Build and optimize ETL/ELT workflows for data ingestion, transformation, and integration.

Utilize Apache Spark, Python, and SQL for data processing and analytics.

Collaborate with data engineers, analysts, and business stakeholders to deliver reliable data solutions.

Ensure data quality, performance optimization, and efficient pipeline execution.

Support cloud-based data engineering initiatives across Azure, AWS, or GCP environments.

Required Skills & Experience

Strong hands-on experience with Databricks .

Proficiency in Apache Spark, Python, and SQL .

Experience designing and maintaining ETL/ELT pipelines.

Knowledge of cloud platforms such as Azure, AWS, or GCP .

Strong understanding of data integration, transformation, and performance optimization.

Excellent analytical, problem-solving, and collaboration skills.

Preferred Skills

Experience working in modern cloud data platforms and analytics environments.

Familiarity with data governance and best practices for scalable data engineering solutions

Apply on querentia.com About employer

More about this job

Responsibilities

The Databricks Data Engineer at Querentia Inc. will design and maintain data pipelines and build workflows that move and transform data. They will work with data engineers, analysts and business stakeholders to deliver reliable data solutions.

Requirements

Candidates need strong hands-on experience with Databricks, Apache Spark, Python and SQL, plus experience building ETL/ELT pipelines. Knowledge of Azure, AWS or GCP and strong problem-solving and collaboration skills are also required.

Skills

Databricks
Apache Spark
Python
SQL
ETL/ELT pipeline design
Data pipeline development
Data integration
Data transformation
Performance optimization
Azure
AWS
Google Cloud Platform
Data quality management
Data governance
Analytical problem solving
Collaboration

Keywords

Databricks
Apache Spark
Python
SQL
ETL
ELT
data pipelines
data engineering
data integration
data transformation
performance optimization
Azure
AWS
GCP
cloud data platform
data governance
data quality
big data
data warehousing
analytics

Tools

Databricks
Apache Spark
Python
SQL
Azure
AWS
GCP

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