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Data engineering is the unsung hero that drives AI, analytics, and business choices. Data Engineer BootCamp course will teach you the tools and strategies for collecting, moving, and transforming vast volumes of data across platforms.
From learning the fundamentals of data flow to the developing ETL processes on cloud platforms, you will get hands-on experience with actual technologies like Spark, Hadoop, Airflow, and others. This bootcamp simplifies pipeline development for batch or stream processing. Learn how top IT teams build, grow, and manage their data architecture and prepare to use the same skills at work.
164 hours of live, instructor-led training with hands-on labs and real-time feedback
End-to-end data pipeline development: ingestion, ETL, orchestration, warehousing, streaming, and analytics
Deep experience with SQL, Python, Apache Spark, and data transformation frameworks
Hands-on use of modern tools: Docker, Airflow, dbt, Databricks, Snowflake, and AWS/Azure/GCP integration
Build and optimize data storage using data lakes, warehouses, lakehouses, and NoSQL systems
Work with streaming platforms like Kafka and implement batch/real-time workflows
Real-world mini-projects and capstones across domains like finance, e-commerce, and IoT
Cloud deployment of pipelines with observability, scheduling, and failure handling baked in
Career acceleration included: resume workshops, mock interviews, portfolio-building, and demo days
Learn from instructors with data engineering experience at FAANG-level and enterprise environments
Growth in data engineering roles by 2030
Companies say data pipelines are critical for AI & analytics
Average global salary for Data Engineers
More job openings for Data Engineers than Data Scientists
To fast-track your career and achieve
Build your portfolio with practical, end-to-end projects:
Knowledge and hands-on experience in DevOps is recommended.
Learn directly from active hiring managers and industry leaders. Gain real insights, confidence, and visibility that go beyond the classroom.
Build interview confidence through real-world assessments, structured prep, and feedback from professionals who actually hire.
Optimize your resume, LinkedIn, and GitHub to attract recruiter attention and stand out in competitive hiring pipelines.
Get personalized coaching from industry veterans—covering interviews, communication, workplace presence, and career strategy.
Not necessarily. If you’re familiar with Python, SQL, or DevOps basics, you’re good to go.
It’s 100% hands-on. You’ll build real pipelines and use industry-standard tools.
Yes, cloud-based data processing and architecture are covered.
Yes, we touch on governance, access control, and data lifecycle best practices.
Yes! Final Assessment and Final project are there at the end of the bootcamp.
You’ll get lifetime access to content and regular mentor sessions to catch up.
Definitely. It’s a solid base for roles in cloud-based data architecture.
Yes! These skills are exactly what they’re looking for in data platform teams.
Agilefever certifications are valued across tech teams for their skill-based approach.
No, it is yours for life once you complete the course.
