Bigdata Quality Analyst - Spark, Scala, Aws

Barclays

Pune, India
Spark, scala, aws
Datawarehouse and big data applications
Jupyter notebooks using scala-spark or pyspark
Design, develop, and execute testing strategies to validate functionality, performance, and user experience, while collaborating with cross-functional teams to identify and resolve defects

Job Summary

  • Design, develop, and execute testing strategies to validate functionality, performance, and user experience, while collaborating with cross-functional teams to identify and resolve defects.
  • Create and execute automated test scripts, leveraging testing frameworks and tools to facilitate early detection of defects and quality issues.
  • Spearhead the evolution of infrastructure and deployment pipelines, driving innovation and operational excellence by harnessing cutting-edge technology.

Matching Summary

Design, develop, and execute testing strategies to validate functionality, performance, and user experience, while collaborating with cross-functional teams to identify and resolve defects.

Skills & Requirements

Must-have

  • Spark, Scala, AWS
  • Datawarehouse and Big Data applications
  • Jupyter Notebooks using Scala-Spark or PySpark
  • ETL processes, data validation
  • complex SQL for data analysis
  • JIRA for test management
  • Agile or DevOps environments

Nice-to-have

  • Unix/Shell Scripting or Python
  • Investment Banking domain experience
  • collaboration and communication skills
  • ability to learn new technologies

Key Requirements

  • Strong software testing experience
  • Experience with Big data tools like Spark
  • Exposure to AWS Cloud Services
  • Proficiency in writing complex SQL
  • Experience in test management and defect tracking
  • Ability to work collaboratively

Work Rights

Not specified

Tailored Resume

Cover Letter