Full Stack Developer, Data Analytics

Overview:

Job Purpose

This position will be responsible for designing and developing software applications using modern programming languages and workflow development tools. This position contributes to the team’s success by designing and developing applications that support audits and controls testing. 

 

Responsibilities

• Design algorithms and workflows to create new software programs and systems
• Write, modify, test, and optimize code
• Maintain existing software, troubleshoot bugs, and improve programs. 
• Provide support for projects by implementing automation
• Develop reports through extract, transform, and load (ETL) procedures from applications and databases utilizing SQL, Python, or Excel and presenting in Tableau
• Design automated solutions for repeated processes
• Incorporate AI into solutions
• Create visualizations to summarize data
• Work on special projects as assigned

Knowledge and Experience

• A bachelor’s degree in Computer Science, Software Engineering, or a related field is typically preferred.
• Basic understanding of retrieving data using APIs.
• 3+ Years of full stack development
• AI/ML experience in enterprise level applications is a plus
• Minimum of 3 years of experience with a solid background in data analysis, statistical analysis, or related field. 
• Proficiency in programming languages like Python, Java, C++, C#, and JavaScript.
• Understanding data structures and algorithms.
• Experience with databases and SQL.
• Familiarity with software development processes like Agile and DevOps.
• Knowledge of secure coding practices and cybersecurity principles.
• Familiarity with version control systems like Git and platforms like GitHub
• Prior experience with data analytics tools such as Python, Alteryx, UI Path, etc. and data visualization such as Power BI, Tableau are a plus. 
• Ability to perform multiple projects simultaneously. 
• Strong analysis, critical thinking and problem-solving skills. 
• Strong planning and organizational skills. 
• Systems analysis and design techniques. 
• Professional certifications are a plus

 

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----------: Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.