Senior Database Developer

Job not on LinkedIn

🕒 Yesterday

🗽 New York – Remote

🗽 New York – Remote

💵 $119.2k - $137.1k / year

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

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Cornell University

WebsiteLinkedInAll Job Openings

1 - 10 employees

📚 Education

⚕️ Healthcare Insurance

🧬 Biotechnology

Education • Healthcare Insurance • Biotechnology

Cornell University is a prestigious Ivy League institution that provides a comprehensive education in various disciplines, placing a strong emphasis on research and academic excellence. It is home to Weill Cornell Medicine, which focuses on medical education, research, and patient care, contributing significantly to the fields of healthcare and biotechnology.

📋 Description

• Responsible for development and oversight of the business analytics portfolio of database assets, including Snowflake/SQL data marts, custom views and stored procedures • Acts as technical liaison and consultant to Database Development team and Business Intelligence teams • Develops/manages database using a variety database management tools with ability to convert existing databases • Creates solutions to automate every day processes • Manage data; Creates macros to automate tasks • Responsible for application design, development, coding for enhancements and fixes, testing, and performance tuning • Serves as technical lead for reporting/data analysis services • Creates, runs, maintains and documents reports on an as-needed basis • Manages active directory security • Works with project teams to determine the feasibility and requirements on assigned projects • Define architecture and standards for web services and interfaces • Uses and helps to define best practices in all areas of software/application development, including design, coding, documentation, testing & implementation

🎯 Requirements

• Bachelor's Degree in related field • Approximately 4 years of related experience • Demonstrable expertise in working with and integrating databases (Snowflake or MS SQL) into web applications and/or into designated data warehouses • Expertise with standard tools used in software development, including IDEs, issue trackers, version control systems, and data modeling tools • Familiarity with application development life cycle methodologies needed to support integration of software applications.