Senior SDET (ETL Process Data Testing)

About the job:

• Our client has an immediate need for a Senior SDET for a 100% remote long-term contract. The Sr. SDET will be responsible for ETL process Data testing within Master Data Management (MDM) system, Data Warehouse, as well as Data Analytics.
• The successful candidate will deeply understand the needs of the organization and determine how to best test modeled data, as well as maintain and improve the health of our existing data warehouse objects and ETL processes.
• The Sr. SDET engineer is responsible for planning and executing manual and automated testing activities on new and existing products to ensure that they meet the Business, Functional and Technical specifications and maintain high overall product quality.
• The Sr. SDET must be an advocate for all things Testing and Quality while driving and implementing best practices and must possess strong analytical and critical thinking abilities.

Top Requirements:

• Must have experience with dimensional databases and strong hands-on experience using complex SQL queries for results validation, data mining and evaluating foreign key dependencies.
• Hands-on experience in ETL process testing is a must.
• Strong ability to troubleshoot issues, identify root causes, and support external teams in development of resolutions.
• Experience independently developing, modifying, and executing test plans based on requirements and design documents including, but not limited to, load balance testing, duplicate run testing, negative testing with invalid test data, performance/volume testing and building and executing regression test scenarios.

What you will be doing:

• Constantly develop a deeper understanding of available data.
• Work to understand multiple operational departments and how data is captured and used within the organization.
• Become an expert in business rules, system functionality and architecture.

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• Understand the current state to develop and/or enhance the data quality framework to support the Data Architecture and Data Analytics teams.
• Aptitude to evolve the current data quality processes into an enterprise data quality practice.
• Write complex SQL queries for source and target systems to verify the data for the ETL processes.
• Review business requirements, functional specifications, use cases, design, and architecture documents to create effective test plans for both ETL and data migration activities providing robust coverage
• Independently develop, modify, and execute test plans based on requirements and design documents including, but not limited to, the following methods:

1. Load balance testing
2. Duplicate run testing
3. Negative testing with invalid test data
4. Performance/volume testing
5. Build and execute regression test scenarios

• Provide estimates and timeframe necessary for testing a project to ensure a high-quality implementation.
• Participate in data migration testing activities, including data validation, integrity checks, and reconciliation across source and target systems.
• Contribute to and maintain project documentation
• Identify, report and track defects and User Experience issues through a system of record.
• Collaborate with external teams on root cause analysis.
• Maintain close interaction with business and technical peers during the project life cycle.
• Actively participate in requirements and code reviews.

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• Actively participate and drive improvements in Agile Scrum delivery.
• Be a thought leader in the test design and execution arena (manual and automated).
• Identify process bottlenecks and suggest improvement actions.
• Creation and input of test data, either manually or by using tools, programs or masked production data to execute test cases.

Requirements:

• Must have experience with dimensional databases and strong hands-on experience using complex SQL queries for results validation, data mining and evaluating foreign key dependencies.
• Experience with Amazon Redshift, MPP Databases, or other cloud warehouses.
• Hands-on experience with Hex, Tableau, Power BI or other analytics applications is a strong plus.
• Hands-on experience validating End User reports.
• Hands-on experience in ETL process testing is a must.
• Strong ability to troubleshoot issues, identify root causes, and support external teams in development of resolutions.
• Hands-on experience with one or more scripting languages (C#, Python, JS, PowerShell, etc.) is a strong plus.
• Hands-on experience in Regression Test Strategies, Regression suite maintenance and execution.
• Hands-on experience with Kodda or SSIS packages is a strong plus.
• Ability to thrive in a project-based environment with evolving requirements.
• Strong analytical skills with the ability to collect, aggregate, analyze, and wrangle significant amounts of information with attention to detail and accuracy.
• Deep understanding of Development and Test cycles, including respective best practices.
• Strong hands-on experience in Agile and Waterfall methodologies.