Junior Data Engineer / Junior Data Scientist
New York, United States دوام كامل
كن أول من يتقدم بطلب
- خبرة
- Up to 1 yrs
- مرتب
- USD 60,000 – USD 65,000 / year
- الوظائف الشاغرة
- 1
- تم النشر
- • 3 أفراد
- وضع العمل
- في المكتب
- تعليم
- Bachelor's degree in Computer Science or related field
- سيرة ذاتية
- مطلوب للتقديم
مكان عملك
المسمى الوظيفي
About Capgemini
Choosing Capgemini means becoming part of a global company dedicated to empowering employees to shape their career paths freely, supported by a collaborative and inspiring network of colleagues worldwide. Capgemini helps top organizations unlock the potential of technology to build a more sustainable and inclusive future.
Role Overview
We are seeking a motivated entry-level professional with a solid foundation in computer science and enthusiasm for data work. This opportunity is ideal for recent graduates who have engaged in academic projects related to data analysis or data engineering and are seeking to launch their careers in a fast-paced, evolving environment.
Primary Responsibilities
- Assist with gathering, cleaning, and transforming data to facilitate analytics and reporting tasks.
- Develop and enhance SQL queries to extract and manipulate data effectively.
- Support building and maintaining data pipelines and database systems.
- Work alongside senior colleagues to analyze datasets and derive meaningful insights.
- Create documentation of processes and help implement continuous improvements.
Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related discipline.
- Experience with academic projects involving data analysis, database design, or akin areas.
- Proficient knowledge of SQL is essential.
- Basic understanding of data structures, algorithms, and relational database concepts.
- Strong problem-solving abilities and meticulous attention to detail.
Desired Skills
- Familiarity with programming languages such as Python for data manipulation tasks.
- Exposure to data visualization tools like Tableau or Power BI during academic coursework.
- Understanding foundational concepts of data warehousing and ETL processes.
Compensation
The base salary range for this position in New York is $60,000 to $65,000 per year. Compensation is determined in compliance with all applicable laws and may vary based on factors including location, experience, education, certifications, job performance, and internal pay equity. Additional compensation such as bonuses or incentives may also be offered depending on applicable policies.
Employee Benefits
- Paid time off ranging from 12 to 25 vacation days depending on employee grade, including company holidays, personal days, and sick leave.
- Medical, dental, and vision health coverage or equivalent provincial healthcare coordination in Canada.
- Retirement savings plans such as 401(k) in the US or RRSP in Canada.
- Life and disability insurance coverage.
- Access to employee assistance programs.
- Additional benefits as per local policy and eligibility.
Equal Opportunity and Accommodation
Capgemini is an Equal Opportunity Employer dedicated to fostering inclusion and diversity. The company actively supports Indigenous relations and commits to providing reasonable accommodations throughout the recruitment process and employment to candidates with disabilities. Applicants will receive fair consideration regardless of protected characteristics under law.
Additional Information
Applicants may be recorded via video or screenshots during interviews for verification purposes. Compensation details and benefits are subject to change as per company discretion and applicable legal regulations. The company links applicant rights information in the United States for transparency.
About the Company
Capgemini is a global leader partnering with businesses to accelerate their digital and sustainable transformations, employing over 340,000 professionals in more than 50 countries. With more than five decades of experience, Capgemini delivers comprehensive services from strategy and design to engineering, powered by expertise in AI, cloud, and data technologies, supported by a vast partner network.