KCS Group

Software Testing Engineer/ SDET   




  Infoworks Technologies Private Limited is looking for Software Testing Engineer/ SDET



Job Description

We re looking for a Software Development Engineer in Test who will design and enhance automation testing frameworks and automation test scripts using Python & Javascript.

Experience/ Required Skills

BS/ MS from a reputed institution in CS or equivalent engineering field.
3-9 years experience in software testing and test automation framework development.
Strong QA mindset; should have an eye for potential gaps in a software application and be able to create thorough test plans.
Excellent problem solving and programming skills as well as communication and collaboration skills.
Ability to effectively work independently and as part of a team.

Strong programming experience (Python, JavaScript) in the context of the automation testing framework for UI/Rest API/Backend preferred..
Experience of testing Data Driven Applications, knowledge of databases, and knowledgeable on Data validation on variety of target platforms (HDFS/ DBFS/ Cloud Data Warehouse/RDBMs etc) preferred.
Hands on experience on Cloud ecosystems (GCP/ AWS/ Azure). Familiarity with at least one of them is ideal.
Experience of testing an application from both API and UI preferred.

Nice to Have

Prior experience of working in data engineering domain.
Startup experience.
Linux and shell scripting.
Prior experience of using any test case management tool.


 

Work Experience

3 to 9 Years

Level

 Junior - Executive, Assistant 


Job Function
IT-Software, Software Testing, Quality Control/Assurance


Vacancies
Not Specified 


Industry
IT-Software 


Job Location
Bangalore, India 


Educational Qualification
BCA/BCS, B.E./B.Tech, M.Tech, MCA/PGDCA


Salary
Not Specified


Key Skills
Automation Testing frameworks and Automation Test Scripts using Python & Javascript


Company Info
Infoworks was founded to solve a common problem in the big data world. Big data is just too hard. Infoworks co-founder and Chief Product Officer, Amar Arsikere discovered this challenge first-hand at both Google and Zynga. He first built a data warehousing platform on Bigtable at Google, then built one of the worlds largest in memory database infrastructures at Zynga. And while open source tools were a good initial foundation, Amar found that out of the box open source didn`t translate well into production environments. They require too much expertise, too much manual coding, too much integration gluecode, and too much time to get big data infrastructure to work properly in production. To solve this problem, Amar created an automation layer to eliminate complexity across the entire data workflow. The solution included data ingestion, data synchronization, data preparation, cube generation and orchestration and management of data workflows in production on a collaborative platform.
 


Address


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