Design, develop, and maintain automated test suites for data pipelines and streaming applications, primarily focusing on Python scripting and SQL validation.
Job Title: Test Automation Engineer
Total Experience: 3 to 5 Years
We are seeking a hands-on QA engineer focused on data/database validation across ETL and streaming pipelines, and capable of Selenium-based UI automation.
Key Responsibilities:
- Design, develop, and maintain automated test suites for data pipelines and streaming applications.
- Collaborate with data engineers to validate data transformations and ensure data quality..
- Write and maintain Python-based test scripts and utilities.
- Integrate automated tests into CI/CD pipelines (Azure DevOps, GitHub Actions).
- Write and execute complex SQL queries to test data quality, transformations, and integrity.
- Participate in testing for Spark or PySpark-based data processing.
- Selenium-based UI automation.
Technical Skills Required:
- Programming & Scripting: Python, PyTest/unittest
- SQL Databases: Azure SQL Database, MySQL/SQL
- CI/CD Tools: Azure DevOps, GitHub Actions
Good to Have/Nice To have:
- Apply understanding of data modelling and dimensional models (star/snowflake schema).
- Utilize data governance and lineage tools.
- Familiarity with containerized environments (Docker, Kubernetes).
- Cloud & Data Platforms: Azure Data Factory (ADF), Azure Databricks (ADB), Azure Data Lake Storage (ADLS), Kafka, Flink
- Containerization: Docker, Kubernetes ( optional)
- Selenium with python /C#
Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.
Top Skills
Azure Devops
Azure Sql Database
Docker
Github Actions
Kubernetes
MySQL
Pyspark
Python
Spark
SQL
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