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Data QA/ Tester

2 months ago


Phoenix, United States IPolarity Full time

Job Title: Data QA/Tester (Need strong GCP, Python, Big data)

Location: Phoenix, AZ (Hybrid – 2-3 days a week)

Duration: 12 months

Note: This Role is for Day 1 onsite and Two weekdays mandatory to Onsite at this time, also will be asked to be in office between 3-5 weekdays in future on needs and policies.

Key Responsibilities:

  • Perform testing on data ingestion pipelines for variety of data sources: batch, near real-time and real-time/streaming
  • Perform testing on Datawarehouse loads and Reports generated out of the Datawarehouse data.
  • Design, Develop, Execute and Maintain Automated Testing Framework and Scripts with GCP Components (DAG/Airflow, Dataflow, Pyspark, PubSub, Python-language, gsutil commands)
  • Create Test Strategies to handle various testing milestones.
  • Conduct performance testing on API's.
  • Execute Test Plans for Connectivity/SIT/UAT - Functional & Non-Functional Testing.
  • Report & Assign software defects through defects management process and tools.
  • Conduct follow-up meetings with developers and cross teams to close the of defects.
  • Create Test Metrics, Test Execution, Tests, Test Reports and share with Business stake holders on testing progress.
  • Join meetings like Agile Daily Standup, Story grooming, Sprint plannings and Program increment agile ceremonies and working sessions as needed.
  • Report risks, blockers and update tasks on daily basis with comments and completion.
  • Code commits to the Azure/Git Repos

Required skills:

  • Strong Skills with Python to Develop Framework, Scripts, Programs.
  • Strong experience with Test Automation (Bigdata Validations) with help of GCP Components (DAG/Airflow, Cloud functions, Dataflow, Pyspark, PubSub, Python-language, gsutil commands)
  • Strong experience with Bigquery/SQL/Datawarehouse, Handling Bigquery client in Programming.
  • Should be experience enough to create the Apache-beam pipelines to integrate the components.
  • Experience with Testing Processes (Connectivity/SIT/UAT - Functional & Non-Functional Testing) and handling Project management tool like JIRA for daily tasks and logging.
  • Experience with Azure DevOps for CICD implementation.
  • Experience in the tools which creates the Synthetic Test Data generation (or) should be capable of creating the pipelines/framework to generate the Synthetic Test Data in forms of Json, Xml, Avro, Parquet, Text/CSV files.
  • Strong experience in Data Maintenance/Management.
  • Good to have Rest API Testing and API Performance Testing.
  • GCP Cloud experience is very much needed.
  • Strong analytical and communication skills: verbal and written
  • Knowledge of Java, Scala, Spark and Kafka
  • Knowledge of GenAI and MLOps is good to have as we scale up towards future usecases.
  • Adoptability to learn new skills/technologies required for daily deliverables.