Advanced Data Engineering Program
The Advanced Data Engineering Program is designed to meet the surging global demand for skilled data engineers, with roles offering salaries ranging from ?7 LPA to ?20+ LPA across industries like finance, healthcare, retail, and e-commerce. With companies shifting to real-time data processing, cloud-native architectures, and AI-driven pipelines, data engineers are now central to business transformation. This course delivers hands-on mastery of tools like Apache Spark, Kafka, BigQuery, Airflow, GCP, and Docker, with real-time projects simulating production use-cases such as fraud detection systems, recommendation engines, real-time analytics dashboards, and scalable ETL pipelines. Learners benefit from expert mentorship, interview preparation, resume building, and exposure to real-world data architecture patterns — ensuring they’re job-ready from day one, and equipped for both onsite and high-paying remote roles worldwide.
Course Curriculum
Module 1: Data Warehousing & Storage Foundations
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Introduction to Data Engineering & Real-World Architectures
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Google BigQuery: Concepts, Partitioning, Clustering
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SQL for Analytics: MySQL, PostgreSQL, Oracle
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NoSQL Deep Dive: MongoDB, Cassandra, Redis, DynamoDB
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Cloud Data Storage: Buckets, Lifecycle Policies, IAM (GCP)
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Best Practices: Schema Design, Indexing, Storage Optimization
Module 2: ETL, Orchestration & Data Flow
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ETL Concepts: Batch vs. Stream, Ingestion Strategies
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Apache NiFi: Flow-Based Programming, Real-Time Data Routing
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Apache Airflow: DAGs, Task Scheduling, Custom Operators
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Data Quality: Validations, Cleaning, Great Expectations
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Metadata Management: Apache Atlas, Collibra
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End-to-End ETL Pipelines with Error Handling & Retry Logic
Module 3: Distributed Data Processing Frameworks
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Apache Spark with PySpark: RDD, DataFrame, MLlib
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Apache Flink: Stateful Streaming, Event Time, Windows
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Apache Beam: Unified Batch & Stream Programming
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Handling Skew, Joins & Optimizing Execution Plans
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Working with Avro, Parquet, ORC Formats
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Data Enrichment, Aggregation & Windowing Operations
Module 4: Real-Time Data Streaming & Messaging
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Apache Kafka Fundamentals: Brokers, Topics, Partitions
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Kafka Streams & Connect: Data Integration & Processing
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End-to-End Streaming Pipeline with Kafka & Spark
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Data Serialization: Avro, Protobuf, JSON
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Message Queuing, Offsets, Consumer Groups
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Monitoring Kafka with Prometheus & Grafana
Module 5: Cloud, DevOps & Infrastructure for Data Engineers
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Google Cloud Platform (GCP) for Data Engineering
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Docker for Containerizing ETL Jobs & Pipelines
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Kubernetes for Scaling Data Workflows
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Git for Version Control in Data Projects
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Logging & Monitoring: ELK Stack, Prometheus, Grafana
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CI/CD Pipelines for Data Projects (Cloud Build, GitHub Actions)
Module 6: Projects, Interviews & Career Launch
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Capstone Projects: Real Company Use Cases (Retail, Finance, Health)
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Resume Building + Portfolio Review (GitHub, LinkedIn)
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Mock Interviews (HR + Technical + System Design)
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Data Modeling Tools: ERWin, Lucidchart – Logical & Physical Models
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Understanding Business Use Cases & KPIs
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Interview Crack Strategy + Survival Tips in First Job
Take the First Step Towards Smarter Learning.
Connect with us effortlessly! Get a call back to resolve your queries, request a free demo class to explore our offerings, or book a personalized demo session to dive deeper into your learning journey. Experience a seamless path to mastering data analytics with expert guidance at every step.
Placement Companies
Students Reviews
Richa Singh
Senior DBAI am from Bhubaneswar, an MBA graduate with 4 years of experience as a Marketing Manager earning 6 LPA. Despite my efforts, my salary remained stagnant, and I knew it was time for a career transformation. Transitioning from marketing to IT felt like a daunting challenge, especially since I lacked technical skills.
Chandan Kumar
Lead EngineerThe NoSQL DBA course offered by DataXSchool was comprehensive and industry-relevant, covering all the essential skills and knowledge required to excel in the field. The hands-on practical sessions and real-world examples made the learning process incredibly effective.
Jogeswar Rao
MongoDB DBAIt’s a proud moment for me to share that I’ve been hired as a Database Engineer at Raukteen, Hyderabad, with an impressive package of 10.2 LPA per annum. As a B.Sc graduate, this achievement feels incredible, and all credit goes to DataXSchool and our mentor, Srikanta Sir. The 4-month Database Engineer course was comprehensive and practical, covering:
Simachal Nayak
Database EnginnerI am extremely grateful to DataXSchool for their amazing DBA course, which has completely transformed my career. I am thrilled to share that I have secured a job in Bengaluru with LTIMindtree at an incredible salary of ?7,60,000 per annum.
Santosh Patra
Senior DBAI’m thrilled to announce that I have secured a job at Wipro Techology as a Senior DBA with a monthly salary of ?95,000! ????
This incredible achievement wouldn’t have been possible without DataXSchool and their top-notch DBA course. The course not only equipped me with the right skills but also gave me the confidence to crack the Infosys interview with ease. I owe my success to Srikanta Sir, whose guidance and mentorship inspired me to pursue this course. His support has been invaluable in helping me achieve my dream job.
Our Success Story
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