QA Automation Engineer-Data/Backend Testing
HAN IT STAFFING, INC.
Hanover, NJ, United States
2 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Airflow
Amazon Web Services
Amazon S3
Automation of Tests
Big Data
Cloud Computing
Continuous Integration
Data Validation
Information Engineering
Data Integrity
Extract Transform Load (ETL)
+23 more
Data Transformation
Database Queries
Database Testing
Github
Python (Programming Language)
Log Analysis
Scrum Methodology
Regression Testing
Cloud Services
Selenium
Test Data
Scripting
Postman
Apache Spark
Backend
Pytest
Data Lakes
Gitlab-ci
Apache Kafka
Restful APIs
Data Pipelines
Jenkins
Databricks
Job description
- We are looking for a hands-on QA Automation Engineer with strong experience in backend and data testing. The ideal candidate should have a solid understanding of data engineering concepts, automation frameworks, and cloud technologies. This role involves validating data pipelines, ETL processes, APIs, and backend systems while ensuring data quality and reliability., * Develop and execute automated test cases for backend applications, APIs, and data pipelines.
- Validate ETL processes, data transformations, and large-scale datasets.
- Perform data quality, data integrity, and regression testing.
- Build and maintain automation frameworks using Python.
- Test data processing workflows built on Spark and AWS services.
- Collaborate with Data Engineers and Developers to identify and resolve defects.
- Analyze logs, troubleshoot issues, and support CI/CD testing processes.
Requirements
- Strong experience in QA Automation and Backend/Data Testing.
- Proficiency in Python for automation scripting.
- Experience with Apache Spark and ETL/data pipeline testing.
- Hands-on experience with AWS services (S3, Glue, Lambda, EMR, Redshift, Athena, or similar).
- Experience with automation tools such as PyTest, Selenium, Robot Framework, or similar.
- Strong SQL skills for data validation and database testing.
- Experience testing REST APIs using Postman, Rest Assured, or similar.
- Familiarity with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI., * Experience with cloud-native data platforms and data lakes.
- Knowledge of Airflow, Kafka, or Databricks.
- Understanding of Agile/Scrum methodologies.
- Excellent analytical, troubleshooting, and communication skills.
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