Senior Cloud ETL Automation QA Specialist

Sapsf; United States; In loco; USD 120.000 - 150.000; Tempo pieno

Descrizione del lavoro

Sapsf is seeking a Senior Test Specialist in Cloud Automation Testing to automate ETL and data warehousing validation in a US-based environment. The role focuses on designing, developing, and executing automation scripts for data transformations and loading processes.

You will collaborate with cross-functional teams to build automated testing frameworks, create test plans, and drive performance testing to ensure scalable data pipelines and high data quality across the stack.

Competenze

• Experience automating ETL and data warehouse testing.
• Strong SQL querying and data validation skills.
• Familiar with cloud-based automation testing.
• Experience with performance testing of data pipelines.
• Certifications in Automation Testing or Cloud technologies are a plus.

Mansioni

• Develop and execute automated test scripts for ETL processes and data pipelines.
• Collaborate with cross functional teams to design and implement automated testing frameworks.
• Create test plans and test cases for ETL and data warehouse testing.
• Identify and troubleshoot issues in data transformations and data loading processes.
• Conduct performance testing to ensure scalability of data pipelines.
• Implement best practices for data quality assurance in ETL environments.

Conoscenze

Automation testing tools

ETL testing

SQL queries

Big data technologies

Scripting (Python, Java, Shell)

Analytical thinking

Communication

Strumenti

Selenium

Appium

Hadoop

Spark

Kafka

Descrizione del lavoro

Sapsf is seeking a Senior Test Specialist in Cloud Automation Testing to automate ETL and data warehousing validation in a US-based environment. The role focuses on designing, developing, and executing automation scripts for data transformations and loading processes.

You will collaborate with cross-functional teams to build automated testing frameworks, create test plans, and drive performance testing to ensure scalable data pipelines and high data quality across the stack.