Data analysis tools software engineer

Summary

Increased other engineers productivity by 25-50% through development of new software tools that helped in the data analysis, reporting, and/or decision making process; developed requirements collaboratively with other engineers; worked on change requests until the customer is happy
Tracked KPIs and usage via Angular dashboards (front end) that scaled to the entire corporation (>100K users); maintained and improved the back-end using SQL, Java, C/C++ with MongoDB
Continuously improved and developed codes in a test driven development environment; utilized Jenkins to automated unit tests and automatically report results to a messaging app (like Webex Teams)
Reduced codes complexity for easier maintenance; added new capabilities to tools that are used daily; improved usefulness and analysis throughput by at least 25%
Worked with limited and general direction to develop, test, and maintain Fords suite of software tools used throughout the company
Developed codes in a test driven development environment; utilized an automated, iterative and recursive system to execute tests and validate results
Managed projects status, documented progress, and tracked agile metrics via tools such as Jira and Git
Defined objectives, requirements and specifications (including the UI) for tools based on business needs; also defined acceptance criteria and definition of done
Mentored new engineers and interns on code standards, maintenance, and development; provide technical guidance, consultations, and recommendations on soft tools directions
Managed, troubleshooted, and debugged over 100 tools; took ownership and maintenance of legacy and newly developed tools to allow engineers to concentrate on their main duties
Increased decisions making confidence through data analysis and visualized metrics such as key performance indicators (KPIs) and measure of success (MOS)

Expectations

Ability to work with general and limited directions
Ability to make a difference
Ability to make my voice heard
Job flexibility (remote, hybrid, on-site as needed)
Open communications and feedback, even the ones that are "difficult" to talk about (nothing should be difficult to talk about)
Job security

Employment Preferences
Expected Base Salary

**0,000 USD

Expected Hourly Rate

** USD/hr

Academic Degree
Experience

Total Professional Experience

15 years

Enterprise Experience

15 years
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