
Data Engineering Automation Specialist
1 day ago
As a data automation expert, you will play a critical role in ensuring that our data solutions are of the highest quality. You will work closely with data engineers and analysts to develop, implement, and maintain automated testing frameworks for data validation, ETL processes, data quality, and integration. Your work will ensure that data is accurate, consistent, and performs optimally across our data warehouse systems.
Responsibilities
- Data Validation Automation: Design, build, and maintain scalable test automation frameworks tailored for data warehousing environments.
- Test Strategy and Execution: Define and execute automated test strategies for ETL processes, data pipelines, and database integration across a variety of data sources.
- Data Transformation Logic: Implement automated tests to validate data consistency, accuracy, completeness, and transformation logic.
- Performance Optimization: Ensure that the data warehouse systems meet performance benchmarks through automation tools and load testing strategies.
- Collaboration and Communication: Work closely with data engineers, software developers, and data analysts to understand business requirements and design tests accordingly.
- Continuous Integration and Deployment: Integrate automated tests into the CI/CD pipelines, ensuring that testing is part of the deployment process.
- Defect Tracking and Reporting: Use defect-tracking tools (e.g., JIRA) to log and track issues found during automated testing, ensuring that defects are resolved in a timely manner.
- Test Data Management: Develop strategies for handling large volumes of test data while maintaining data security and privacy.
- Tool and Technology Evaluation: Stay current with emerging trends in automation testing for data warehousing and recommend tools, frameworks, and best practices.
Requirements and Skills
Experience and Knowledge
We require at least 4+ years of experience in building and maintaining automation frameworks using tools like Python, Java, or similar, with a focus on database and ETL testing. Strong knowledge of SQL is necessary for writing complex queries to validate data, test data pipelines, and check transformations. Experience with ETL tools (e.g., Matillion, Qlik Replicate) and their testing processes is also required.
Key Skills and Qualifications
- SQL and Database Testing
- ETL Tools and Technologies
- Automation Frameworks and Tools
- Version Control Systems
- Performance Testing and Optimization
- Strong Analytical and Problem-Solving Skills
- Excellent Communication and Collaboration Skills
- Attention to Detail and Passion for Quality
Desired Skills and Technologies
- QLIK Replicate
- Matillion ETL
- Snowflake
- Data Vault Warehouse Design
- Power BI
- Azure Cloud – Including Logic App, Azure Functions, ADF
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