Databricks Data Engineer
- Remote, Canada
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Job details
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- Remote eligibility
- Canada listed. Check the posting for province restrictions.
- Posting language
- English
- Posted
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
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
Categories
- Technology
- Data & Analytics
- Software
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