Senior Data Test Engineer

Techdoquest — Canada · Posted ~4 hours ago

Senior Full-time

Skills

Data engineering SDET Quality engineering Databricks Python PySpark Azure ETL/ELT Data validation REST API test automation End-to-end testing Backend testing Kafka Microsoft Azure Karate Docker Kubernetes Git GitHub Jira

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Summary ✨ AI‑Generated

A technology organization is seeking a Senior Data Test Engineer with strong SDET experience to build and validate data solutions. You will work with Databricks, Python, PySpark, and Azure while owning automated testing and end-to-end quality across data pipelines, REST APIs, and backend systems. At least five years of relevant experience is required.

Highlights

Combine data engineering and quality engineering to build and validate modern data solutions. The role provides broad technical exposure across Databricks, Azure, Python, automated testing, APIs, data pipelines, and backend systems.

Description

Role Overview We are seeking a Senior Data Engineer with strong Quality Engineering (SDET) experience. The role is primarily focused on building and validating data solutions using Databricks, Python, and Azure cloud technologies, while also owning automated testing, end-to-end validation, and quality assurance across data pipelines, APIs, and backend systems. Key Responsibilities & Requirements: 5+ years of experience in Data Engineering, SDET, or Quality Engineering. Strong hands-on experience with Databricks and PySpark. Develop and validate data pipelines and ETL/ELT processes. Implement data quality and data validation practices. Perform REST API test automation using Karate or similar tools. Strong expertise in end-to-end testing. 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, and Jira.