About tejas Ghatikar:
An ardent software engineer looking for job opportunities to help enhance my technical skills and knowledge , work on ground-breaking technology to bring about positive change in our world.
Currently working as Software Engineer (Backend) for the Cloud team at Netradyne.
My interests include:
Data Structures & Algorithms , System Design, Cloud Computing , OS and Product Management.
Also love playing Chess , reading Non fiction and listening to podcasts on Tech , History , Psychology & Geopolitic
Experience
Software Engineer at Netradyne since Aug 2021 , Have worked on various projects across different verticals and gained an understanding into the company.
Technical Intern at Tyson Foods from march 2021 to July 2021
Education
I have completed Bachelors in Information Science Engineering at BMS College of Engineering with a first class distinction.
Professionals in the same Technology / Internet sector as tejas Ghatikar
Professionals from different sectors near Bengaluru, Bengaluru Urban
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Jobs near Bengaluru, Bengaluru Urban
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Senior Software Engineer
Found in: Talent IN 2A C2 - 2 days ago
The HRBPs Bengaluru, IndiaSr Software Engineer - Java + AWS(optional)+ Oracle database · Location - Bangalore · Experience - 6-8 yrs · Salary - Upto 25LPA · Skills - Java + AWS+ Oracle database · Roles & Responsibilities : · Java Software Engineer will join the Platform Consolidation team. This is a backe ...
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BI Report Developer
Found in: Talent IN C2 - 2 hours ago
State Street Bengaluru, India Full timeJob Title · BI Report Developer - Data Analytics / Cognos / Power / BI DataBricks · Role Summary & Role Description · Minimum 8-10 years of experience in Data Analytics field. · As a developer should be able to work on cognos / Power BI as required. · Roles: · 1.Build complex r ...
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Databricks & GenAI Consultant - Machine Learning
Found in: Talent IN 2A C2 - 2 days ago
Petals Careers Bangalore, India permanent[Affine Analytics] : Databricks and GenAI Consultant (Drive) · Responsibilities : · Setup databricks workspaces for data analysis and machine learning tasks. · - Import & explore data using databricks, ensuring data quality and integrity collaborate with cross-functional teams ...