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Lead I - Software Testing (Bigdata QA)
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Role description
Job Description We are looking for a skilled Big Data QA Engineer to
join our team and ensure the quality and reliability of our data processing
pipelines. This role involves designing and executing both automated and manual
tests for batch workflows, validating data integrity across transformation
stages, and maintaining a robust Python-based test automation framework. The
ideal candidate will have hands-on experience with AWS services, big data
formats, and a strong understanding of testing methodologies in a data-centric
environment. Preferred Skills and Experience: Design, develop, and execute
automated and manual batch test cases for data processing pipelines. Validate
data integrity and transformation logic across multiple stages of batch
workflows. Monitor and troubleshoot batch job failures, performance issues, and
data mismatches. Maintain and enhance Python-based test automation suite and
framework. Evaluates system performance, reproduces issues, and works with
development teams to resolve identified problems. Collaborates effectively with
peers and management to improve application quality and testing processes.
Minimum 4 years of experience with a focus on batch testing and data
validation. Strong proficiency in Python for test automation and scripting.
Hands-on experience with AWS services such as S3, Lambda, EMR, and Athena.
Experience with data formats like JSON, Parquet, and CSV, and tools like Pandas
and PySpark. Familiarity with version control systems (e.g., Git) and CI/CD
tools (e.g., Jenkins, GitHub Actions). Solid understanding of software testing
methodologies, including regression, integration, and system testing. Ability
to analyze logs and metrics to identify root causes of failures. Experience
working with agile methodology. Excellent verbal and written communication
skills, and ability to collaborate with cross-functional teams.
Minimum 4 years of experience with a focus on batch testing and data
validation. Strong proficiency in Python for test automation and scripting.
Hands-on experience with AWS services such as S3, Lambda, EMR, and Athena.
Experience with data formats like JSON, Parquet, and CSV, and tools like Pandas
and PySpark. Familiarity with version control systems (e.g., Git) and CI/CD
tools (e.g., Jenkins, GitHub Actions). Solid understanding of software testing
methodologies, including regression, integration, and system testing. Ability
to analyze logs and metrics to identify root causes of failures. Experience
working with agile methodology. Excellent verbal and written communication
skills, and ability to collaborate with cross-functional teams. Bachelor s
degree in Computer Science or equivalent preferred.
Skills
big data testing,big data,qa,automated testing,
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