Quality Assurance Engineer

Quality EngineeringHybrid Remote, Hyderabad, India


Position at Grid Dynamics

Job Description :-
Ours is a diverse, global, agile engineering team that moves smart and fast by consuming and optimising readily-available technology, collaborating to improve and scale capabilities across businesses and use cases, and sharing our own innovative solutions so everyone can benefit. We are not constrained by organization structure and offer flexibility to work on a variety of backend systems, and we have fun doing it!
Tech Stack :- 
  • 5 or more years of industry experience in quality engineering with scalable data driven platforms.
  • Strong computer science fundamentals.
  • Experience creating detailed Test Plans for functional as well as business use-cases.
  • Provide assistance to the team in Test Estimation & Test Planning
  • Work with business stakeholders, Business Systems Analysts and Developers to ensure quality delivery of software.
  • Interact with key business functions to confirm data quality policies and governed attributes.
  • Proficiency with SQL, familiarity with Java/Python/Scala
  • No SQL data and unstructured data experience.
  • Proficiency in data processing technologies (e.g Bigdata, Hadoop, Kafka, Spark, Flink )
  • Experience crafting API Integrations.
  • Familiarity with cloud paradigms ( e.g AWS or GCP )
  • Proven ability to work on sophisticated problems and systems
  • Strong problem solving and debugging skills.
  • Have the ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams.
  • A desire to work in a fast-paced and challenging work environment.
Build the foundational pieces of the next generation of our Platforms
Collaborate with product management to define external APIs for campaign management.
Design and implement performant services and data pipelines.
Build shared capabilities like Authentication, Authorization etc to support multiple internal and external partners
Implement low latency, highly - available, high volume advertiser facing systems in a cloud environment.
Engineer secure and scalable distributed data processing systems for campaign management.