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Data Engineer BootCamp

Become a data engineer with this hands-on BootCamp which covers the data pipelines, cloud tech, and everything in between.

  • 164 hours instructer led training
  • No prior big data experience needed
  • Learn end-to-end data pipeline building
  • Covers ETL, data lakes, warehouses, and orchestration
  • Work with Spark, Hadoop, and cloud-native tools
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Data Engineer BootCamp Course Overview

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.

What will you learn?

  • Build efficient, scalable data pipelines
  • Master ETL/ELT processes and orchestration tools
  • Work with big data tools: Spark, Hadoop, Hive
  • Set up data lakes, warehouses, and processing layers
  • Understand data architecture in cloud environments

Curriculum

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  • Overview of Data Analytical Engineering
  • Setting up a Data Analytical Engineering Environment
  • Role and Responsibilities in Data Analytical Engineering
  • Importance in Business
  • Introduction to FastAPI for building APIs
  • Role of FastAPI in Data Engineering Tasks
  • Introduction to Data Virtualization
  • Data Product
  • Introduction to Starburst
  • File systems
  • Storage formats (CSV, JSON, Parquet)
  • File Formats – Parquet
  • Cloudbased Data Warehouses (e.g., Redshift, BigQuery)
  • Data Processing with Apache Spark and Flink
  • Cluster Management and Optimization for Spark and Flink
  • Integration of Spark and Flink
  • Integration of Apache Airflow
  • ETL vs ELT
  • Change Data Capture (CDC) using Oracle Golden Gate
  • Golden Gate and Informatica
  • ECS, NAS, Share: Read and Write
  • Introduction to Data Lakehouse
  • Vector Database (pgvector) and Feature Store (Feast)
  • Introduction to Apache Iceberg
  • Advantages of Iceberg for Data Lake Management
  • Implementing Iceberg Tables in Data Engineering Projects
  • Cataloging in Apache Iceberg
  • Flask/API for automation
  • Introduction to Docker and Kubernetes
  • Pandas in Data Engineering
  • ControlM for scheduling
  • Feature Store
  • Introduction to ML Ops in Data Engineering
  • Integration of Machine Learning Models
  • Model Deployment
  • Monitoring and Maintenance
  • Performance optimization strategies
  • Best practices for Nonprod to Prod migration
  • File formats – Parquet
  • Collaboration with Industry Experts
  • Monitoring data quality and performance
  • Data Observability with Monte Carlo
  • Overview of Prompt Engineering in Gen AI
  • Final Project
  • Final Assessment

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Our Esteemed Partners

Who can attend?

If you work with data or want to manage it better, this BootCamp is your next step.

  • Software engineers shifting to data roles
  • Data analysts wanting to build pipelines
  • IT professionals handling system integration
  • DevOps engineers entering the data space
  • Backend developers expanding into big data
  • Freshers with Python and SQL knowledge
  • Software engineers shifting to data roles
  • Data analysts wanting to build pipelines
  • IT professionals handling system integration
  • DevOps engineers entering the data space
  • Backend developers expanding into big data
  • Freshers with Python and SQL knowledge
  • Software engineers shifting to data roles
  • Data analysts wanting to build pipelines
  • IT professionals handling system integration
  • DevOps engineers entering the data space
  • Backend developers expanding into big data
  • Freshers with Python and SQL knowledge

Training Schedule

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Exam & Certification

  • No exam is required for certification.
  • Complete the course and earn your Data Engineering Certification from Agilefever.

Knowledge and hands-on experience in DevOps is recommended.

Data Engineer BootCamp Benefits

Corporate Benefits

  • Train internal teams on contemporary data tools.
  • Reduce the reliance on outsourced data consultants.
  • Enable quicker, more reliable data processing pipelines.
  • Increase data accessibility across departments.
  • Support data science, business intelligence, and analytics activities.
  • Future-proof infrastructure with talented in-house engineers.

Individual Benefits

  • Develop job-ready skills in high-demand data technologies.
  • Hands-on experience with technologies used by leading data teams
  • Learn to transport and process data efficiently.
  • Close the gap between data and decision-making.
  • Create a portfolio of real-world projects.
  • Stand out in data-driven positions and interviews.

Certification Process

Step 1: Enroll for our expert-led Data Engineer BootCamp

Step 2: Clear the Data Engineer BootCamp requirements

Step 3: After successful completion, receive the Data Engineer Certification

Corporate Training

 

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Testimonials

This bootcamp gave me the exact skills my job needed pipelines, ETL, and cloud. Super clear and hands-on.

Abhishek M
Abhishek M

The instructors made tough topics easy. Loved the real-world data flow examples.

Amanda P
Amanda P

Best bootcamp I have taken this year. From zero to production-level pipelines in just weeks!

Anil P
Anil P
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FAQs

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.

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