Opens LinkedIn
- Employment type
- Full-time
- Experience level
- Lead · 10+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
Job summary
Validate modern data platforms, data pipelines, APIs, and backend services. Ensure the quality, reliability, and scalability of data systems through testing and validation.
Job details
Senior Data Test Engineer / SDET Location: Canada – Remote Employment Type: Full-Time Experience: 7–15 Years We are seeking a Senior Data Test Engineer / SDET with strong experience in data engineering, quality engineering, test automation, and cloud technologies. The ideal candidate will be responsible for validating modern data platforms, data pipelines, APIs, and backend services while ensuring quality, reliability, and scalability. Key Responsibilities & Requirements 5+ years of experience in Data Engineering, SDET, or Quality Engineering. Strong hands-on experience with Databricks, PySpark, and Python. Experience developing and validating ETL/ELT data pipelines. Strong knowledge of data quality and data validation. Experience with REST API test automation using Karate or similar tools. Strong end-to-end testing experience. Hands-on experience with Microsoft Azure. Knowledge of Kafka and asynchronous backend testing. Experience with Databricks testing and data validation frameworks. Nice To Have Docker and Kubernetes. E-commerce domain experience. Git, GitHub Skills: validation,data engineering,pipelines,test automation,azure,automation,api,data,testing,data validation
What you’ll do
Validate modern data platforms, data pipelines, APIs, and backend services. Ensure the quality, reliability, and scalability of data systems through testing and validation.
Requirements
Requires at least five years of experience in data engineering, SDET, or quality engineering, with hands-on expertise in Databricks, PySpark, Python, and ETL/ELT pipelines. Candidates should also have experience with data validation, REST API and end-to-end testing, Azure, and Kafka; Docker and Kubernetes are nice to have.
Listed skills
- Python · Preferred
- Data Validation · Preferred
- Microsoft Azure · Preferred
- Docker · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Data Engineering
- Quality Engineering
- Test Automation
- Databricks
- PySpark
- Python
- ETL/ELT Pipelines
- Data Quality
- Data Validation
- REST API Testing
- Karate
- End-to-End Testing
- Microsoft Azure
- Kafka
- Asynchronous Backend Testing
- Docker
Job areas
- Technology
- Data & Analytics
- Software
- Engineering
- Consulting