Data Quality Engineer

JD for Data Engineer (Python + ETL):

Role

EXP

Primary Skills

• Hands-on experience with Data Testing either with

  Python

  or Pyspark.
• Deep understanding of data test concepts primarily inclined towards

  ETL

  .
• Hands-on with ETL/DWH testing and SQL (any RDBMS)
• Hands-on experience with any DB, preferably Oracle and should be able to read/understand/alter stored procedures.
• Strong experience in

  BDD

  with Cucumber or similar framework
• Experience in Azure DevOps to

  integrating automated testing into a CI/CD pipeline

  using Jenkins orGitLab runner.
• Good Knowledge in GCP Storage Buckets, Dataflow and Cloud Function.
• Good Knowledge in BigQuery.
• Hands-on experience with one of more programming languages (Java / JavaScript)
• Proven experience and ability to create best practices and policies to improve quality at program level.
• Strong technical skills and ability to solve Quality Engineering technical problems.
• Strong problem-solving skills and managing multiple stakeholders.
• Excellent communication skills and should be able to manage client stakeholders and act as a liaison between QE team and clients.
• Experience managing mid-size team of QAs working on multiple products.
• Accomplishes quality assurance objectives by monitoring, reviewing, and enforcing policies and procedures.
• Analyze production data to identify areas of growth.
• Excellent data analyzing and review skills.
• Experience of working in an agile environment and the role of QA in agile ceremonies
• Knowledge on Jira, Zephyr for Test Management
• Proficient Testing experience