BCA in Data Engineering – Build Data Pipelines. Power Intelligence. Shape the Future.













- Learn big data technologies, ETL, and cloud platforms.
- Master SQL, Python, Spark, and data warehousing.
- Hands-on projects in real-time data pipeline creation.
- Develop analytical and database optimization skills.
- 100% placement assistance and expert mentorship.
*No cost EMI

Build the Backbone of Data-Driven Organizations.
The Bachelor’s Degree in Data Engineering at Teksversity empowers students to become the architects behind every data-driven system. Through this data engineering degree online, learners gain in-depth knowledge of data modeling, pipeline automation, and cloud-based infrastructure used by global enterprises. The course focuses on data collection, transformation, and storage teaching how to move data from raw sources to analysis-ready formats. Students work with real-time databases, data lakes, and distributed systems while gaining exposure to tools like Apache Spark, Hadoop, AWS, and Azure. Designed with industry collaboration, this program bridges the gap between coding, analytics, and large-scale data management preparing you for roles such as Data Engineer, Cloud Engineer, or ETL Developer.
Design and implement efficient data architectures.
Build ETL pipelines and manage cloud-based data systems.
Work with big data technologies like Spark and Hadoop.
Integrate and automate data workflows across platforms.
Gain job-ready skills for engineering and analytics careers.
Choosing Teksversity for your Data Engineering Degree ensures that you gain more than just technical knowledge you develop problem-solving and system-design skills essential for enterprise-level data operations.
Key Highlights of BCA in Data Engineering Program
- Data modeling and warehousing fundamentals
- Hands-on ETL and pipeline creation projects
- Big data tools: Hadoop, Spark, Kafka, and Airflow
- Cloud data systems: AWS, Azure, and Google Cloud
- SQL and Python for data management
- Real-time data integration and stream processing
- One-on-one guidance from data engineering experts
- 24/7 access to cloud lab and virtual datasets
- Performance tracking and personalized learning support
- Recorded lessons and revision sessions
- Internship coordination and certification support
- Technical helpdesk for software and tool access
- 100% placement assistance and interview training
- Resume & LinkedIn optimization for engineering roles
- Industry tie-ups for internship and project exposure
- Professional certification guidance (AWS, GCP, Azure)
- Mock interviews and skill-based assessments
- Job portfolio and capstone project support
- Team projects on data pipeline building
- Webinars by cloud architects and data engineers
- Alumni mentoring and networking sessions
- Industry expert Q&A and guest talks
- Peer collaboration and coding challenges
- Hackathons and community data projects
- Data modeling and warehousing fundamentals
- Hands-on ETL and pipeline creation projects
- Big data tools: Hadoop, Spark, Kafka, and Airflow
- Cloud data systems: AWS, Azure, and Google Cloud
- SQL and Python for data management
- Real-time data integration and stream processing
Download Our Course Brochure
- Course curriculum and data tools covered.
- Skill outcomes and career options.
- Admission process and eligibility.
- Internship and placement details.
- Mentorship and project-based learning.


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Fee:
₹2,25,000


















































































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