Sr. QA Engineer​/QA Lead | Hybrid

Responsible for validating application frontend and backend systems, as well as testing complex ETL data pipelines built on GCP
. Need to ensure high system performance, data integrity, and seamless user experiences.

• Design and execute test plans for data ingestion, transformation, and storage processes.
• Validate ETL workflows in the GCP ecosystem (e.g., Big Query, Dataflow, Composer).
• Perform source-to-target data reconciliation, verifying transformation logic and data integrity using complex SQL queries
  .
• Validate automated data quality checks to monitor schema changes, duplicate rows, and null values in the data pipeline.

• Perform end-to-end testing of a web application frontends across various browsers and devices.
• Test backend APIs (REST/GraphQL), microservices, and serverless functions to ensure accurate data processing and secure communication.

• Collaborate with Product Managers, Data Engineers, and Software Developers to define clear acceptance criteria.
• Identify, log, and track defects using tracking software.
• Execute regression, functional, and performance testing to certify stable product releases.

• Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
• Experience: 5+ years of professional experience in software QA, with a strong mix of data pipeline and application testing.
• Data
  
  Skills:
  
  Deep proficiency in SQL
  ; hands-on experience with the Google Cloud Platform (GCP) data stack (Big Query, Dataflow, etc.).
• Mindset: Strong analytical skills, exceptional attention to detail, and the ability to adapt to fast-paced Agile environments.