Location: Pune, Bangalore
Job Description
We are seeking an enthusiastic and motivated IT/Computer Engineer with a strong interest in data analytics, data science, and machine learning. As a Fresher, you will have the opportunity to learn and grow in a dynamic environment that specializes in cutting-edge data solutions.
This role is perfect for someone who is eager to kick-start their career by contributing to projects related to data engineering, data analytics, and emerging technologies. You will work alongside experienced professionals, gaining valuable insights and hands-on experience in the world of data.
Responsibilities
- – Collaborate with cross-functional teams to assist in data-related projects and tasks.
- Learn and apply foundational skills in data analytics, data manipulation, and data visualization.
- Assist in data preprocessing, cleansing, and transformation tasks.
- Participate in the development of data pipelines and ETL processes.
- Gain exposure to basic machine learning techniques and algorithms.
- Assist in the documentation of data processes, procedures, and findings.
- Stay updated with industry trends and developments in data analytics, machine learning, and related technologies.
- Collaborate with mentors and senior team members to enhance technical skills and knowledge.
Qualifications
- – Bachelor’s degree in Information Technology, Computer Engineering, Computer Science, or a related field.
- 0 to 2 years of relevant experience.
- Basic understanding of programming languages (e.g., Python, Java, or similar).
- Demonstrated interest in data analytics, data science, or machine learning (through coursework, projects, or self-learning).
- Familiarity with basic data manipulation and analysis concepts.
- Excellent problem-solving skills and a willingness to learn.
- Strong communication and interpersonal abilities.
- Ability to work effectively both independently and within a team.
- Eagerness to adapt and grow in a fast-paced and innovative environment.
- Any Certification is added advantage
Perks and Benefits
- Comprehensive training and mentorship from experienced professionals.
- Exposure to a variety of projects and technologies in data analytics and machine learning.
- Opportunity to contribute to real-world projects and gain hands-on experience.
- Collaborative and inclusive work environment.
- Continuous learning and professional development opportunities.
- Hybrid working model, offering a blend of remote and in-office work.
- Health and wellness programs.
