Company
GOOGLE
Website www.google.com
Eligibility B.E/B.Sc/Master's degree
Experience 0-1 Year
Location Hyderabad
GOOGLE
Job Role: Application Developer - 2115530
Job Summary:
* B.E/B.Sc preferred in Computer Science, or related field with strong background in numerical analysis, algorithms and/or data-mining. Master's degree is a plus.
* At least year experience in one or more of the following languages: C, C++, Java, or Python. Experience working in Unix/Linux environments.
* Knowledge of SQL, relational databases, and other data storage solutions
* Excellent knowledge of web technologies (HTTP, HTML, JavaScript)
* Strong ability to communicate technical concepts clearly and effectively. Strong verbal and written communication skills.
Candiates Work On:
* Analyze potential abuse and fraud cases and trends and advocate changes to product and engineering groups
* Build real time systems to process large datasets in parallel on massive clusters
* Increase efficiency through automation, improved signals, workflow streamlining and system optimization
* Design, code and debug applications in various software languages.
* Front end graphical user interface design
Website www.google.com
Eligibility B.E/B.Sc/Master's degree
Experience 0-1 Year
Location Hyderabad
Job Role: Application Developer - 2115530
Job Summary:
* B.E/B.Sc preferred in Computer Science, or related field with strong background in numerical analysis, algorithms and/or data-mining. Master's degree is a plus.
* At least year experience in one or more of the following languages: C, C++, Java, or Python. Experience working in Unix/Linux environments.
* Knowledge of SQL, relational databases, and other data storage solutions
* Excellent knowledge of web technologies (HTTP, HTML, JavaScript)
* Strong ability to communicate technical concepts clearly and effectively. Strong verbal and written communication skills.
Candiates Work On:
* Analyze potential abuse and fraud cases and trends and advocate changes to product and engineering groups
* Build real time systems to process large datasets in parallel on massive clusters
* Increase efficiency through automation, improved signals, workflow streamlining and system optimization
* Design, code and debug applications in various software languages.
* Front end graphical user interface design
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