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Data Engineering Internship Program

Explore the endless possibilities within data engineering through our remarkable Data Engineering Internship Program. Immerse yourself in the realm of data infrastructure, acquiring invaluable skills as a data engineer.
  • 25 Days of Live Online Project Internship
  • 20+ Days of Recorded Video Learning
  • Get Internship Certificate from AiSPRY
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Welcome to the Data Engineering Internship Program at 360DigiTMG!

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.


Experience the Data Engineering Internship at 360DigiTMG:

Our Data Engineering Internship Program 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.

Data Engineering Internship

Program Cost


Data Engineering Internship Program Overview

Our internship program 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.

About the Program:

Our Data Engineering Internship Program 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.

What Makes Our Program Unique:

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.

Data Engineering Internship Program Outcomes

Upon successful completion of the Data Engineering Internship Program, interns can expect to achieve the following outcomes:

Hands-on Experience: Tackle real-world data engineering challenges.
Foundation Building: Develop proficiency in data ingestion, transformation, and storage.
Portfolio Development: Create a showcase of projects highlighting your skills and expertise.
Industry Insight: Gain insights into best practices and standards in the data engineering field.

Block Your Time

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20 Days

Recorded Video Learning

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25 Days

Live Online Project Internship

Who Should Sign Up?

  • Individuals seeking to launch a career in data science.
  • Recent graduates looking to enhance their skill set.
  • Anyone passionate about exploring the exciting world of Data Engineering.
  • Our program welcomes graduates, professionals, and enthusiasts eager to explore analytics.

Data Engineering Internship Program Modules

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 program, 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.

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Data Engineering Internship Program Panel of Coaches

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Bharani Kumar Depuru

  • Areas of expertise: Data analytics, Digital Transformation, Industrial Revolution 4.0
  • Over 18+ years of professional experience
  • Trained over 2,500 professionals from eight countries
  • Corporate clients include Deloitte, Hewlett Packard Enterprise, Amazon, Tech Mahindra, Cummins, Accenture, IBM
  • Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, (DSDM Atern)
  • Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
Read More >
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Sharat Chandra Kumar

  • Areas of expertise: Data sciences, Machine learning, Business intelligence and Data
  • Trained over 1,500 professional across 12 countries
  • Worked as a Data scientist for 18+ years across several industry domains
  • Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology Infrastructure Library
  • Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, Python, Tableau, Cognos
  • Corporate clients include DuPont, All-Scripts, Girnarsoft (College-, Car-) and many more
Read More >
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Bhargavi Kandukuri

  • Areas of expertise: Business analytics, Quality management, Data visualisation with Tableau, COBOL, CICS, DB2 and JCL
  • Electronics and communications engineer with over 19+ years of industry experience
  • Senior Tableau developer, with experience in analytics solutions development in domains such as retail, clinical and manufacturing
  • Trained over 750+ professionals across the globe in three years
  • Worked with Infosys Technologies, iGate, Patni Global Solutions as technology analyst
Read More >
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Data Engineering Internship Certificate

Earn a certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence.

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Pavan Satya

"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

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Chetan Reddy

"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

Santosh Kumar

"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

Kadar Nagole

"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”

Kadar Nagole

Data Scientist

Gowtham R

"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

Wan Muhamad Taufik

"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”

Wan Muhamad Taufik

Associate Data Scientist

Venu Panjarla

"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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FAQs for Data Engineering Internship Program

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 program 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.

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