Automation QA
Barclays is hiring an Automation QA in Pune to validate complex data pipelines and cloud architectures. The role focuses on building scalable data validation frameworks using Python, PySpark, and AWS. Candidates will collaborate with cross-functional teams to ensure software quality through test strategy development and script execution. The position requires strong technical expertise in distributed systems and cloud environments.
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Experience
Experience not specified
Function
Quality Assurance
Work mode
Onsite, India
Company
Tier 2
What you will work on
Barclays is hiring an Automation QA in Pune to validate complex data pipelines and cloud architectures. The role focuses on building scalable data validation frameworks using Python, PySpark, and AWS. Candidates will collaborate with cross-functional teams to ensure software quality through test strategy development and script execution. The position requires strong technical expertise in distributed systems and cloud environments.
TAL's take
Solid role at a globally recognized financial institution, though specific seniority/YOE requirements are not clearly stated.
Role is well-defined as a Big Data automation tester with a clear technology stack, though the seniority level remains slightly ambiguous in the text.
Salaries at Barclays
21.3 LPA average
Based on 128 Grapevine salary entries for Barclays.
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Other roles
0 - 2 years | BA4
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Range: 5 - 21 LPA
Must haves
- Strong hands-on experience in Big Data testing using Python and PySpark.
- Experience in Cloud testing, with preference for AWS (S3, EMR, Glue, Lambda).
- Proficiency in Spark SQL for validating data across distributed systems.
- Strong Python scripting skills for automation, data validation, and framework development.
Tools and skills
Nice to have: databricks, ci/cd, etl testing.
About the company
Large global financial institution with established engineering presence in India.
Posts mentioning Barclays
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