Data Engineer - Internship

As a Trainee Data Engineer at Infojini Consulting Pvt. Ltd., you will have the opportunity to learn modern data engineering technologies and work on enterprise-scale data platforms. The position involves undergoing a 3-month intensive training program aimed at bridging the gap between academic learning and industry requirements. Successful completion of the training program, monthly assessments, and certification requirements can lead to full-time employment with revised compensation. Key Responsibilities: - Learn Data Engineering Fundamentals - Utilize SQL and Python for Data Processing - Gain knowledge of Cloud Computing Concepts - Work with Databricks and Spark - Explore Big Data Technologies - Understand Data Warehousing and ETL Processes - Implement Industry Best Practices and gain Project Exposure Qualifications Required: - Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Engineering, or related disciplines - Minimum CGPA of 8 throughout academics - Strong analytical and problem-solving skills - Excellent communication and teamwork abilities Infojini Consulting Pvt. Ltd. offers a structured learning and mentorship program, exposure to modern Data Engineering technologies, industry-recognized certification sponsorship, and the opportunity to work on real-world data projects. Joining Infojini can lead to career growth in Cloud and Data Engineering domains. The company requires candidates to arrange their own laptop/system during the onboarding and training period. Upon successful completion of training and confirmation as a full-time employee, official work assets will be provided. The stipend during training is 15,000 per month, and upon successful training and certification, full-time employment opportunity with a compensation of 4,00,000 per annum (CTC) is offered. If you are a Computer Science Engineering student looking to kickstart your career in Data Engineering, share your resume with suman.gupta@infojiniconsulting.com to apply for this exciting opportunity. As a Trainee Data Engineer at Infojini Consulting Pvt. Ltd., you will have the opportunity to learn modern data engineering technologies and work on enterprise-scale data platforms. The position involves undergoing a 3-month intensive training program aimed at bridging the gap between academic learning and industry requirements. Successful completion of the training program, monthly assessments, and certification requirements can lead to full-time employment with revised compensation. Key Responsibilities: - Learn Data Engineering Fundamentals - Utilize SQL and Python for Data Processing - Gain knowledge of Cloud Computing Concepts - Work with Databricks and Spark - Explore Big Data Technologies - Understand Data Warehousing and ETL Processes - Implement Industry Best Practices and gain Project Exposure Qualifications Required: - Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Engineering, or related disciplines - Minimum CGPA of 8 throughout academics - Strong analytical and problem-solving skills - Excellent communication and teamwork abilities Infojini Consulting Pvt. Ltd. offers a structured learning and mentorship program, exposure to modern Data Engineering technologies, industry-recognized certification sponsorship, and the opportunity to work on real-world data projects. Joining Infojini can lead to career growth in Cloud and Data Engineering domains. The company requires candidates to arrange their own laptop/system during the onboarding and training period. Upon successful completion of training and confirmation as a full-time employee, official work assets will be provided. The stipend during training is 15,000 per month, and upon successful training and certification, full-time employment opportunity with a compensation of 4,00,000 per annum (CTC) is offered. If you are a Computer Science Engineering student looking to kickstart your career in Data Engineering, share your resume with suman.gupta@infojiniconsulting.com to apply for this exciting opportunity.