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Key Responsibilities
1. Design, develop, and test software applications using Python for Data Analytics
2. Collaborate with cross-functional teams to identify and prioritize project requirements
4. Use Python for processing large data sets for KPIs, dashboards and actionable insights
5. Participate in code reviews and contribute to the improvement of the codebase for processing big data
6. Stay up-to-date with industry trends and emerging technologies
Technical Requirements
1. Programming languages: Proficiency in Python (version 3.x)
2. Databases: Knowledge of database concepts for manipulating big data and experience with databases such as MySQL,
3. Operating Systems: Familiarity with Linux and/or Windows operating systems
4. Version control: Experience with Git and GitHub
Soft Skills
1. Communication: Excellent verbal and written communication skills
2. Teamwork: Ability to work collaboratively in a team environment
3. Problem-solving: Strong problem-solving skills and ability to debug code
4. Adaptability: Ability to adapt to changing project requirements and priorities
5. Time management: Ability to manage time effectively and meet project deadlines
Education and Experience
1. Bachelor's degree: Bachelor's degree in Computer Science, Software Engineering, Mathematics or a related field
2. Experience: 1+ years of experience in software development using Python
3. Certifications: Optional certifications such as Python Institute's Python Certification or Data Science Council of America's Certified Data Scientist
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