Course Design By
Nasscom & Wipro
Understand the role of a data engineer in an organization.
Learn how to collect, store, and process large volumes of data efficiently.
Gain expertise in SQL, NoSQL, and cloud databases like MySQL, MongoDB, and BigQuery.
Work with big data tools like Apache Hadoop, Spark, and Kafka.
Learn ETL (Extract, Transform, Load) techniques for data processing.
Build scalable data pipelines to move data across systems.
Implement data security and governance best practices.
Use Python and Scala for data manipulation.
Learn cloud-based data engineering using AWS, Google Cloud, and Azure.
Work on real-world projects and case studies for hands-on experience.
Entry-level Data Engineer: 4-6 LPA
Data Analyst transitioning to Data Engineering: 5-8 LPA
Cloud Data Engineer: 6-10 LPA
Big Data Engineer: 8-12 LPA
Junior Data Engineer Working with SQL, databases, and basic ETL tools.
Data Engineer Handling complex data pipelines and processing large datasets.
Senior Data Engineer Leading teams and optimizing data workflows.
Data Architect Designing end-to-end data infrastructures.
Machine Learning Engineer Using data to train and deploy AI models.
High demand for skilled data engineers in tech companies.
Growing big data industry requires structured and optimized data management.
Cloud computing adoption in companies, creating demand for cloud data engineers.
Career stability and high salary potential compared to other IT fields.
Hands-on learning with live projects and case studies.
Building and managing data pipelines for structured and unstructured data.
Optimizing database performance and improving query efficiency.
Handling big data tools like Apache Spark, Hadoop, and Kafka.
Integrating data sources from multiple systems into a unified platform.
Ensuring data security, privacy, and compliance with industry standards.
Collaborating with data scientists to provide clean and structured datasets.
Working with cloud platforms to store and process data efficiently.
IT and Software Development Building scalable data architectures.
E-commerce Managing huge customer and sales data.
Banking and Finance Handling financial transactions securely.
Healthcare Processing and analyzing patient data.
Retail and Supply Chain Managing inventory and sales forecasting.
Telecommunications Optimizing network performance using data.
Resume Building and Interview Preparation
Mock Interviews with Industry Experts
Job Referrals and Application Assistance
Placement Drives with Hiring Companies
Internship Opportunities for Hands-on Experience
we train you to get hired.
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Course Design By
Nasscom & Wipro
Course Offered By
Croma Campus
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21-Jun-2025*
23-Jun-2025*
25-Jun-2025*
21-Jun-2025*
23-Jun-2025*
25-Jun-2025*
You will get certificate after
completion of program
You will get certificate after
completion of program
You will get certificate after
completion of program
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Empowering Learning Through Real Experiences and Innovation
we train you to get hired.
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+91-971 152 6942Get a peek through the entire curriculum designed that ensures Placement Guidance
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A Data Engineer is responsible for collecting, managing, and organizing data so that businesses can use it for decision-making. You'll build systems that store and process data efficiently.
Yes, you will need to learn some basic coding, mainly in Python and SQL, but don’t worry, the course will guide you step by step.
Yes, Data Engineering Training in Noida covers tools and techniques used to handle large sets of data, also known as "big data," like Hadoop and Spark.
No, you don’t need a background in IT. The course is designed for beginners, and you will learn everything from scratch.
Yes, by the end of the course, you’ll be able to create and manage data pipelines, helping businesses process and store data more effectively.
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