Bigdata Quality Analyst - Spark, Scala, Aws

jobs.barclays

Pune, India
Spark testing experience
Scala or pyspark development
Aws cloud services exposure
The role involves designing and executing comprehensive testing strategies to validate functionality, performance, and user experience for big data applications

Job Summary

  • The role involves designing and executing comprehensive testing strategies to validate functionality, performance, and user experience for big data applications.
  • Candidates will leverage tools like Spark, Scala, and AWS to develop automated test scripts and ensure robust data quality within the infrastructure.
  • Success in this position requires collaborating with cross-functional teams to resolve defects, perform root cause analysis, and drive continuous improvement in testing methodologies.

Matching Summary

The role involves designing and executing comprehensive testing strategies to validate functionality, performance, and user experience for big data applications.

Skills & Requirements

Must-have

  • Spark testing experience
  • Scala or PySpark development
  • AWS cloud services exposure
  • ETL process validation
  • Complex SQL proficiency
  • JIRA defect tracking

Nice-to-have

  • Unix shell scripting skills
  • Investment banking domain knowledge
  • Python scripting capabilities
  • Agile and DevOps collaboration
  • Strong communication skills

Key Requirements

  • Experience with Datawarehouse and Big Data applications
  • Proficiency in writing complex SQL for validation
  • Ability to work in Agile or DevOps environments

Work Rights

Not specified

Tailored Resume

Cover Letter