01Requirements
Bachelors degree in related field or equivalent work experience
Overall, 3 to 6 years of experience with SQL, PL-SQL (or similar SQL extensions), Python/PySpark, Data analytics tool Alteryx / Tableau (good to have).
1+ years of experience with Palantir platform (good to have)
2+ Years of Experience in JAVA and Spring boot. (good to have)
Knowledge of different open-source products/services related to Integration, Messaging, or API management technologies.
1+ years of Cloud experience (PaaS)
Knowledge of Code, Configuration and Build management tools such as GIT, Concourse, Ansible and Jenkins is preferred.
Knowledge of Agile tools and methodologies
Knowledge of software development processes and supporting tools
Operating Systems: Windows and Linux
What is expected of you and others at this level
Candidates are expected to work during the US eastern hours (5:00PM IST to 2:30AM IST)
Applies knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects.
Must have analytical and troubleshooting skills.
Good oral and written communication skills
Revision Changelog
Title & Target Level
Before: P2-Senior Analyst-Dev
After: P3-Engineer-Dev
Department / Org Alignment
Before: Commercial Technologies (Fuse)
After: Pharma and Specialty Distribution Analytics Platforms and Applications
Business Unit Scope
Before: ".managing and maintain multiple integration platforms."
After: ".managing multiple integration artifacts. to build user-facing software applications."
Core Integration Technologies
Before: (SQL, PL-SQL, Python/PySpark, Angular, Alteryx (good to have), tableau (good to have))
After: Removed Angular from the core database/integration list: (SQL, PL-SQL, Python/PySpark, Alteryx (good to have), Tableau (good to have))
Front-End Experience (Angular)
Before: (No dedicated front-end bullet)
After: Added new bullet: Knowledge in building user-facing applications and experiences with Angular or similar front-end technologies.
Required Database Experience
Before: PL-SQL and MS SQL will be more preferred.
After: Broadened pipeline: PL-SQL (or similar SQL extensions) and removed MS SQL preference.
