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Home / Data Engineering & Cloud Technologies / Data Engineering Internship
Data engineering involves constructing, managing, and optimizing data infrastructure and pipelines. It requires leveraging diverse technologies and tools to ensure seamless data processing, storage, and retrieval. With the rapid increase in data, the demand for proficient data engineers who can effectively manage and optimize data workflows is steadily growing.
Our Data Engineering Internship is designed to provide aspiring data engineers with hands-on experience in tackling real-world data challenges. This internship is carefully crafted to bridge the gap between theoretical knowledge and practical application by immersing you in live projects guided by seasoned industry professionals. Join us and set off on a journey to start your skills and carve out a successful career in data engineering.
INR 101,500 71,500
Our internship offers a comprehensive exploration of various data engineering concepts essential for building robust data pipelines and infrastructure. You'll delve into topics such as data ingestion, data transformation, data storage, data warehousing, and data processing frameworks. Throughout the program, you'll also gain hands-on experience with popular tools and technologies used in the industry, including Apache Hadoop, Apache Spark, Apache Kafka, and cloud platforms like AWS and Azure.
Our Data Engineering Internship offers a comprehensive curriculum that is structured to provide a step by step learning path. You will receive guidance and mentorship from experienced industry professionals who will assist you throughout the internship, ensuring a seamless learning experience.
The program is divided into two phases:
Phase 1: Skill Development (10 days)
In this phase, you will receive comprehensive training in the following areas:
Python: Gain proficiency in Python programming, including libraries like NumPy and Pandas for data manipulation and analysis.
SQL: Master Structured Query Language (SQL) for efficient data retrieval and management from databases.
ETL and ELT: Learn about Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes for data integration.
Data Warehousing: Understand the concepts and architectures of data warehousing.
Data Pipelines: Get hands-on experience in building and managing data pipelines for efficient data flow.
Phase 2: Project Work (10 days)
Put your skills into practice by working on real world data engineering projects. Under the guidance of industry experts, you will solve end to end problems, including designing, building, and maintaining data pipelines, data warehouses, and implementing ETL/ELT processes using the techniques learned in Phase 1.
Comprehensive Curriculum: Our Data Engineering Internship Program offers a comprehensive and structured curriculum that provides a step-by-step learning path. This approach enables interns to develop a strong foundation and progress systematically in their Data Engineering journey.
Experienced Mentors: Our experienced mentors share their expertise and insights, ensuring a seamless learning experience and helping interns succeed in their Data Engineering careers.
Hands-on Project Experience: Interns have the opportunity to apply their skills and knowledge to real-world Data Engineering projects. Under the guidance of industry experts, interns analyze and interpret data, create meaningful visualizations, and derive actionable insights to drive business decision-making.
Innovation through AiSPRY: As part of our commitment to fostering innovation, we have our own research and development division called AiSPRY. Through AiSPRY, we explore emerging technologies and develop cutting-edge solutions to address industry challenges. Interns may have the opportunity to work on exciting projects initiated by AiSPRY, gaining exposure to the latest advancements in the field.
Upon successful completion of the Data Engineering Internship, interns can expect to achieve the following outcomes:
Block Your Time
20 Days
Recorded Video Learning
15 Days
Live Online Project Internship
Who Should Sign Up?
Join our Data Engineering internship program and embark on an enriching journey where you will explore the fundamental concepts and practical applications of this dynamic field. Throughout the program, you will have the opportunity to expand your knowledge and skills across various areas. You will start by creating a project charter, which will help you define the objectives, scope, and deliverables of your project, setting a clear direction for your work.
You will utilize a research tracker to organize your research activities, ensuring that you capture all the essential details such as research questions, data sources, methodologies used, and findings. To bring your Data Engineering project to life, you will create an architecture diagram, providing a visual representation of the system or solution you are developing. This diagram will showcase the components, connections, and interactions between various elements, guiding the implementation process. The next step is to collect data, where you will learn techniques for identifying and accessing relevant data sources, ensuring data quality, integrity, and privacy. With the collected data in hand, you will dive into exploratory Artificial Intelligence, utilizing statistical and visualization techniques to gain initial insights and understand the underlying patterns and relationships within the data.
This analysis will serve as a foundation for hypothesis testing and further analysis. Moreover, you will master the art of data visualization, learning how to present your findings in a visually appealing and informative manner. You will use visualization libraries and tools to create charts, graphs, and interactive dashboards that effectively communicate your data-driven insights to stakeholders. By joining our internship, you will gain practical experience and invaluable skills in Data Engineering. You will acquire the ability to make accurate predictions, identify future trends, and make informed data-driven decisions. Seize this opportunity to immerse yourself in the world of Data Engineering and unlock the endless possibilities it holds.
Practical Experience: Our internship offers invaluable hands-on experience working on real-world Data Engineering projects, enabling you to apply your theoretical knowledge in a practical setting.
Expert Mentorship: Interns receive guidance and mentorship from experienced professionals who share their industry knowledge and insights, supporting your growth and success in the Data Engineering field.
Industry-Relevant Curriculum: Our curriculum is designed to equip you with the skills and knowledge that are highly sought after in the Data Engineering industry, increasing your employability and career prospects.
Networking Opportunities: During the internship, you will have the chance to connect with industry professionals, peers, and alumni, expanding your professional network and opening doors to potential career opportunities.
Throughout the Free Data Engineering Internship Program, you will embark on a structured learning journey that includes: Interactive Learning: Engage in live lectures conducted by industry experts, where you can ask questions and interact with fellow interns, fostering a collaborative learning environment.
Practical Projects: Apply your learning to real-world Data Engineering projects, gaining hands-on experience with diverse datasets and real-life scenarios.
Assignments and Assessments: Complete assignments and assessments to reinforce your understanding of concepts and measure your progress in Data Engineering.
Capstone Project: Conclude your internship by working on a comprehensive capstone project that showcases your Data Engineering skills and problem-solving abilities.
360DigiTMG is a renowned training institute in the field of Data Engineering. Here's why you should choose us:
Tailored Learning Paths: Our programs are designed to cater to learners of various backgrounds and skill levels, allowing you to learn at your own pace and customize your learning journey.
Job Placement Support: We provide comprehensive job placement assistance to help you secure lucrative career opportunities in the Data Engineering industry, supporting you even after the internship.
Alumni Success: Our alumni have achieved great success and secured positions in leading organizations, validating the quality of our training programs and the practical skills they gained during their time with us.
Trusted Partnerships: 360DigiTMG has earned the trust and recognition of leading companies in the industry. Our strong partnerships with renowned organizations, including Panasonic, Skill India, and NSDC, validate the quality and relevance of our training programs.
Training Institutes: Apart from our main training center, we have established training institutes in various locations, making our Data Engineering programs accessible to learners from different regions conveniently.
The field of Data Engineering offers job opportunities in diverse industries, including finance, healthcare, retail, and technology. Upon completion of our Free Data Engineering Internship Program, you will be equipped with the necessary skills and experience to pursue roles such as Artificial Intelligence, Business Analyst, Data Visualization Specialist, and Market Research Analyst, among others.
Don't miss out on the chance to unlock a world of opportunities by enrolling today! Take the first step towards a successful career in Data Engineering with our Free Data Engineering Internship Program at 360DigiTMG. Seize this opportunity to gain practical experience, receive mentorship from industry experts, and acquire valuable skills that are in high demand. Enroll now and embark on a journey that will open doors to exciting possibilities in the field of Data Engineering.
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"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”
Pavan Satya
Senior Software Engineer
"Although data sciences is a complex field, the course made it seem quite straightforward to me. This course's readings and tests were fantastic. This teacher was really beneficial. This university offers a wealth of information."
Chetan Reddy
Data Scientist
"The course's material and infrastructure are reliable. The majority of the time, they keep an eye on us. They actually assisted me in getting a job. I appreciated their help with placement. Excellent institution.”
Santosh Kumar
Business Intelligence Analyst
"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”
Kadar Nagole
"Excellent team and a good atmosphere. They truly did lead the way for me right away. My mentors are wonderful. The training materials are top-notch.”
Gowtham R
Data Engineer
"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”
Wan Muhamad Taufik
Associate Data Scientist
"The instructors went above and beyond to allay our fears. They assigned us an enormous amount of work, including one very difficult live project. great location for studying.”
Venu Panjarla
AVP Technology
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The program focuses on providing hands-on experience in real-world data engineering challenges, bridging the gap between theory and practice. Participants work on live projects guided by industry professionals, exploring topics like data ingestion, transformation, storage, and processing frameworks.
The internship immerses participants in real-world data engineering projects under expert guidance. This hands-on experience facilitates the application of theoretical concepts to practical scenarios, ensuring participants develop practical skills and industry insights.
The curriculum encompasses data ingestion, transformation, storage, and processing frameworks. Participants delve into essential concepts and tools like Apache Hadoop, Apache Spark, and cloud platforms, gaining proficiency in building robust data pipelines and infrastructure.
Participants will work on real-world data engineering projects, designing, building, and optimizing data pipelines. They'll tackle challenges related to data integration, scalability, and performance, gaining practical insights and honing their data engineering skills effectively.
Industry professionals provide mentorship and guidance, ensuring participants receive practical insights and advice throughout their project work. Their expertise helps participants navigate real-world challenges and learn industry best practices directly from experienced professionals.
The program consists of two phases: Skill Development (20 days) and Project Work (25 days). Phase 1 covers fundamental concepts such as data ingestion, transformation, and storage. Phase 2 involves applying these skills to real-world data engineering projects under expert mentorship.
During Phase 2, participants will work on real-world data engineering projects under expert guidance. They will design, build, and optimize data pipelines, addressing challenges related to data integration, scalability, and performance in various domains and industries.
Working on real-world projects provides participants with hands-on experience and practical insights into data engineering challenges. They gain exposure to industry-relevant scenarios, enabling them to develop problem-solving skills and apply theoretical knowledge to real-world situations effectively.
Upon completion, participants can expect to have gained practical experience in tackling real-world data engineering challenges. They will have developed a strong foundation in data ingestion, transformation, and storage, as well as a portfolio showcasing their skills and expertise.
Participants will gain hands-on experience with popular data engineering tools and technologies such as Apache Hadoop, Apache Spark, Apache Kafka, and cloud platforms like AWS and Azure. They'll learn to leverage these tools to build robust data pipelines and infrastructure.
Throughout the internship, participants will work on real-world data engineering projects under expert guidance. These projects serve as a showcase of their skills and expertise, demonstrating their ability to tackle data engineering challenges and deliver tangible results in various domains.
The program is designed to cater to participants with varying levels of experience in data engineering. It starts with foundational concepts in Phase 1 and progresses to more advanced project work in Phase 2, ensuring that participants of all levels can benefit from the program.
Participants receive structured guidance and mentorship from experienced industry professionals throughout the internship program. They have access to support resources and feedback mechanisms to help them navigate challenges and maximize their learning experience.
The program stands out for its comprehensive curriculum covering a wide range of data engineering concepts and its emphasis on hands-on experience through real-world projects. Additionally, participants receive mentorship from industry experts, ensuring a high-quality learning experience.
While the internship does not offer a formal certification, participants gain valuable practical experience and develop skills that are highly sought after in the data engineering field. They also have the opportunity to showcase their project work as part of their portfolio.
360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.
Student Voices
4.8
I've reached a major milestone in my Data Analytics internship with 360DigiTMG. With guidance from experienced mentors, they’ve really helped me get closer to reaching my goals. Embrace the valuable knowledge and skills gained and continue leveraging this opportunity to excel in the dynamic field of data analytics.
I'm Sai Manikanta, delighted to share my internship journey at 360DigiTMG. This internship has been a great opportunity for me to expand my limits and gain new skills. Diverse activities provided profound insights, shaping a promising future. Grateful for this opportunity, I eagerly anticipate forthcoming outcomes.
The data analytics program was truly outstanding! The meticulously structured classes and enthusiastic instructors made learning both enjoyable and engaging. With this extensive knowledge at my disposal, I am not only confident but also eager to make significant strides in the field of data analytics.
One of the best institutes for training in Hyderabad. I am done with the Data science and Machine Learning course here. Trainers are highly educational and instructive. Invaluable experience gained through live projects, enhancing technical familiarity. Additional value provided through helpful working sessions further enriches the learning journey.
The teacher and staff are highly skilled at their jobs. They teach in a way that's easy to understand and interesting. They know a lot about the subject, so learning from them is great. The teacher plans everything well and explains hard stuff with lots of examples using Excel.
It was a wonderful experience for me as an intern to work in 360digitmg. This internship had made me become an expert in the field of data analytics which had greatly motivated me and Working with real-time datasets provided invaluable experience, enhancing my skills significantly.
It was an awesome experience at 360Digitmg, offering the best resources and fostering excellent interaction. Working on real-life projects under expert supervision provided invaluable learning opportunities. Overall, it was a highly rewarding learning experience that contributed significantly to my growth and career advancement.
I found a great coaching institute in Chennai for data-related courses. I completed a successful data analytics program there. The trainers were skilled and supportive, especially Vijay, who made learning Python easy. Thanks to him and 360DigiTMG. I also learned Data Analytics with SQL, Tableau, and Excel.
360DigiTMG institute offers an exceptional learning experience, excelling in data science and machine learning. Despite lacking coding background, tutors ensured effective learning, making concepts easily understandable. Tutorial sessions covered job interview prep and case studies, with Mind maps boosting confidence. Highly recommend this Bangalore institute for data-related courses.
Excited for upcoming internships, confident in my improved skills from the program. Explored new territories and gained invaluable experience. Ready to apply newfound knowledge and continue growing in future opportunities. Grateful for the journey so far, eager for what's ahead.
360DigiTMG institute offers one place where the course curriculum is so good and teacher training, equipping students with skills for their dream job. Grateful for the internship experience, including live projects, resume building, presentation practice, and interview preparation sessions. Enhanced confidence for future interviews. Thank you, 360DigiTMG, for the invaluable learning journey.
The data analytics with python course in the best coaching centre in Chennai. Finished the course well and worked on practical tasks. This helped me build my professional experience. By participating in interview preparation and project presentation sessions, I realized that I could present myself confidently to an interview.
During my internship at 360DigiTMG, I gained invaluable experience, expanding my knowledge significantly. The opportunity provided a rich learning environment, fostering personal and professional growth. Grateful for the wonderful experience and the skills acquired, which will undoubtedly shape my future endeavours.
Great institute! Exceptional learning experience, especially in data science and machine learning. Tutors adeptly simplified complex concepts despite my coding limitations. Varied tutorial sessions prepared us for job interviews with insightful case studies. Mind maps boosted confidence. Highly recommend this Bangalore-based institute for data-related courses.
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