The Technovalley Certified Big Data Engineer & Hadoop Specialisation is a 250 Hour Program is structured to help learners develop practical skills in managing, processing, and analyzing large-scale data sets. Over the program individuals explore core principles of distributed computing, data ingestion pipelines, storage frameworks, and processing workflows relevant to big data environments. By completion, learners will have developed a working understanding of how big data systems are designed, maintained, and integrated with broader analytical processes in professional settings.
Big Data expertise remains in steady demand as organizations manage rapidly growing volumes of information across industries such as finance, healthcare, e-commerce, and technology. Professionals with skills in Hadoop, distributed data processing, and data pipeline development continue to be highly sought after worldwide, commonly working as Big Data Engineers, Hadoop Developers, Data Platform Specialists, and ETL Engineers. In India, salaries typically range from ₹12–30 LPA depending on experience and the scale of operations, while in the United States compensation often falls between $110,000 and $160,000 USD, with senior professionals and specialized data architects earning significantly higher packages. Strong career opportunities also exist across Europe, Southeast Asia, and Australia, driven by the widespread adoption of scalable data solutions. These roles typically involve designing and managing data pipelines, administering distributed clusters, optimizing storage and processing systems, and ensuring data reliability, performance, and scalability in complex enterprise environments.
The program provides a structured introduction to Hadoop and its core components, including HDFS for distributed storage, MapReduce for processing large datasets, Hive for querying, Pig for scripting, and Sqoop for data import and export, enabling learners to understand how these tools work together in complete workflows.
Sessions include step-by-step demonstrations of installing Hadoop clusters, configuring key settings, performing routine administration tasks, tuning performance, and maintaining fault tolerance across distributed systems.
Learners are introduced to methods for handling both large-scale batch processing and near real-time streaming, reflecting how organizations process data in production environments.
The content highlights strategies to design and maintain systems that remain stable as data volume and complexity increase, including resource planning, monitoring, and optimization practices.
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The Technovalley Certified Big Data Engineer & Hadoop Specialisation program provides hands-on training focused on real-world big data technologies, large-scale data processing, and modern data engineering practices. The course equips learners with practical skills in Hadoop, HDFS, MapReduce, Hive, Pig, Spark, Kafka, data warehousing, ETL development, and distributed computing, aligned with current industry requirements and evolving data-driven business needs. Through project-based learning and real-world use cases, participants gain the expertise needed to design, build, manage, and optimize scalable data platforms, enabling organizations to efficiently process, analyze, and derive insights from massive volumes of structured and unstructured data across diverse industry environments.
Access to the Latest Tools
21+ Global It technology Partner
Personalized Career Support
Learn from Certified Consultants
Engaging and Learner-Centric Sessions
70% practical oriented
The Technovalley Certified Big Data Engineer & Hadoop Specialisation program gave me a strong foundation in Hadoop, Spark, and data engineering concepts. The hands-on projects helped me understand real-world data processing workflows and boosted my confidence in handling large-scale datasets.
I was looking for a practical Big Data course, and this program exceeded my expectations. The trainers explained complex topics in a simple way, and the industry-oriented assignments helped me develop skills that are directly applicable in the workplace
The course provided excellent exposure to Hadoop ecosystem tools, distributed computing, and ETL development. The project-based learning approach helped me gain practical experience and prepared me for opportunities in the data engineering field.
Technovalley's Big Data Engineer & Hadoop Specialisation program was a valuable learning experience. The curriculum was well-structured, the mentoring was outstanding, and the real-world case studies gave me a clear understanding of how modern data platforms operate in enterprise environments
Thanks to our global certification you can now unlock careers with government agencies and Fortune 500 leaders around the world.
Understand core concepts of big data systems, distributed storage, and processing models that underpin large-scale data environments.
Gain working knowledge of the Hadoop ecosystem, including the structure and functioning of the Hadoop Distributed File System (HDFS) and its role in storing and managing large datasets.
Learn how to write and optimize MapReduce jobs to process large volumes of data efficiently across clusters.
Use Hive to write SQL-like queries and Pig scripts for managing structured and semi-structured data in a scalable format.
Work with Sqoop to move data between relational databases and Hadoop, and understand how Flume is used for collecting log and event data.
1. Program Introduction
2. Python
3. Advanced Python
4. Data Structures
5. Operating System
6. Concepts of DBMS & RDBMS
7. MySQL
8. NoSQL DB : Mongo DB
9. Data Warehousing
10. Introduction to Big Data
11. Basic Terminologies in Big Data
12. HDFS and Hadoop
13. MapReduce
14. Apache PIG
15. Apache Hive
16. Apache Flume
17. Apache Mahout
18. Apache HBase & Zookeeper
19. Cloudera Impala
20. Apache Sqoop
21. Apache Oozie
22. Apache Kafka
23. Spark Terminologies | RDD |SQL
24. Excel
25. EDA using Python (Power BI)
26. Tableau
27. Real Time Project
Data Professionals Expanding Skills
Individuals already working in data analysis or engineering who wish to gain hands-on experience with Hadoop and big data processing tools.
Software Developers
Those interested in building practical knowledge of distributed data systems and incorporating big data frameworks into their development work.
Early-Career Technologists
Professionals at the start of their careers who want to establish foundational and applied skills in big data environments.
IT and System Administrators
People responsible for managing infrastructure who need to understand how Hadoop clusters are configured and maintained.
Career Transition Candidates
Individuals from other domains planning to move into big data engineering and seeking structured, practice-oriented exposure to core technologies.
The Big Data Engineer & Hadoop Specialisation program is ideal for aspiring Big Data Engineers, Data Engineers, Hadoop Developers, ETL Developers, Data Analysts, IT professionals, engineering graduates, and students who want to build a career in large-scale data processing and data-driven technologies. It is also an excellent choice for professionals looking to upskill in Hadoop, Apache Spark, Data Warehousing, ETL Development, Distributed Computing, Data Pipelines, and Big Data Analytics. Whether you are a beginner exploring Big Data technologies for the first time or a working professional seeking to advance your career, this program provides the practical knowledge and hands-on experience needed to design, build, manage, and optimize scalable data platforms capable of processing and analyzing massive volumes of data in real-world enterprise environments.
Individuals who prefer structured, practical exercises and demonstrations to develop confidence with big data tools in realistic scenarios.
Those who contribute to building, monitoring, or improving data workflows and require a working understanding of Hadoop ecosystem components.
People interested in seeing how data moves across distributed environments and how different tools interact to manage and process large volumes of information.
Individuals planning to progress into analytics engineering, data platform administration, or cloud-based big data solutions who need a solid foundation.
Technovalley Advanced Knowledge Services - A Centre of Excellence in Talent Engineering and Global IT Consulting
Technovalley Advanced Knowledge Services, based in Kochi, Kerala, stands tall as one of India’s most trusted names in global-standard upskilling, reskilling, and IT consulting. Recognized as a Centre of Excellence for emerging technologies, Technovalley delivers an expansive suite of over 140+ high-impact programs across Cybersecurity, Artificial Intelligence, Cloud Computing, Software Engineering, Data Science, and Digital Forensics, with operations extending across India, the Middle East, and Africa.
Backed by strategic alliances with over 21 global IT giants, Technovalley brings world-class certification programs to learners through direct partnerships with industry leaders. As a certified and strategic partner of EC-Council, CompTIA, OffSec, LPI, and more, Technovalley ensures that every learner receives the best the world has to offer—right here in India.
Technovalley is also an active partner of NASSCOM and the NASSCOM FutureSkills Prime initiative, collaborating to build a future-ready workforce aligned with India's national skilling priorities. In the state of Kerala, Technovalley has established brilliant partnerships with K-DISC’s KKEM mission and Kerala Startup Mission (KSUM), playing a key role in capacity building, startup enablement, and digital transformation.
As a global-standard IT consulting company, Technovalley also works closely with governments, academic institutions, and enterprises to deliver consulting, talent pipelines, digital strategies, and workforce transformation projects that drive meaningful change.
Join Technovalley. Build with a legacy. Rise with integrity. Deliver with confidence.
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