About the Company
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 350,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, driven by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering, and platforms.
Job Description
We are seeking a passionate and driven Junior Python Developer to join our dynamic data analytics team. This role offers an exciting opportunity to contribute to projects with a focus on large-scale data analysis, similar to those found in leading entertainment platforms like Netflix. You will work alongside experienced engineers and data scientists, gaining invaluable experience in data pipelines, big data technologies, and advanced analytics, all while enhancing your Python programming skills within a collaborative and innovative environment.
Key Responsibilities
- Develop and maintain robust Python scripts for data extraction, transformation, and loading (ETL) processes.
- Assist in designing and implementing data pipelines for large datasets.
- Contribute to the development of data analytics tools and dashboards.
- Collaborate with data scientists and other developers to understand data requirements and deliver solutions.
- Perform data quality checks and troubleshoot data-related issues.
- Document code, processes, and data flows.
- Participate in code reviews and team meetings.
- Continuously learn and apply new technologies and best practices in data analytics.
Required Skills
- Proficiency in Python programming.
- Understanding of data structures and algorithms.
- Basic knowledge of SQL and relational databases.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
- Strong problem-solving abilities and attention to detail.
- Excellent communication and teamwork skills.
Preferred Qualifications
- Experience with big data technologies (e.g., Spark, Hadoop).
- Familiarity with cloud platforms (AWS, Azure, GCP).
- Understanding of data visualization tools (e.g., Tableau, Power BI).
- Knowledge of machine learning concepts.
- Previous experience with version control systems (e.g., Git).
- Academic background in Computer Science, Data Science, or a related quantitative field.
Perks & Benefits
- Comprehensive health, dental, and vision insurance.
- 401(k) retirement plan with company match.
- Generous paid time off and holidays.
- Professional development and training opportunities.
- Mentorship programs for career growth.
- Flexible hybrid work model.
- Access to cutting-edge technologies and innovative projects.
- Employee assistance programs.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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