SlaveCode
.
Academy
DSA
Resources
System Design
More
Toggle theme (Current: Custom)
Data Engineer Roadmap Roadmap | SlaveCode
Data Engineer Roadmap
Step by step guide to becoming a Data Engineer in 2026
Back
Roadmap
Vedios and Other Resources
Projects
AI Tutor
Data Engineer
Pre-requisites
Python is recommended
Understand Different Steps
Relational Databases
Other Data Architectures
Cloud Providers
AWS
Azure
Google Cloud
ETL Process
Data Pipeline Tools
Hadoop Ecosystem
Common Tools
Common Tools
BI Tools
Tools
Data and AI Regulations
Learn the Basics
Data Generation
Data Storage
Data Warehousing
Data Ingestion
Data Serving
Security
Data Governance & Privacy
Also visit the following related roadmaps
Python for Data Analysis
SQL Roadmap
Python
AI & Data Scientist
SQL
Data Analyst
MLOps
Data Analyst
Related Roadmaps
AI & Data Scientist Roadmap
BI Analyst Roadmap
Data Analyst Roadmap
Introduction
What is Data Engineering?
Data Eng. vs Data Science
Skills & Responsibilities
Data Engineering Lifecycle
Choosing the Right Technologies
Programming Skills
Python
Java
Scala
Go
Data Structures & Algorithms
Git and GitHub
Linux Basics
Networking Fundamentals
Distributed Systems Basics
Data Generation
Data Storage
Data Ingestion
Data Serving
Data Engineering Lifecycle
Sources of Data
Database
APIs
Logs
Mobile Apps
IoT
Data Collection Ideas
Database Fundamentals
Data Normalization
Data Modelling Techniques
CAP Theorem
OLTP vs OLAP
Slowly Changing Dimension
Horizontal vs Vertical Scaling
Star vs Snowflake Schema
Relational Databases
Learn SQL
Indexing
Transactions
MySQL
PostgreSQL
MariaDB
Aurora DB
Oracle
MS SQL
NoSQL Databases
Document
MongoDB
ElasticSearch
CosmosDB
CouchDB
Column
Cassandra
BigTable
HBase
Graph
Neo4j
Neptune
Key-Value
Redis
Memcached
DynamoDB
What is Data Warehouse?
Data Warehouse Architectures
Data Warehouse
Google BigQuery
Snowflake
Amazon Redshift
Data Mart
Data Lake
Databricks Delta Lake
Snowflake
Onehouse
Data Mesh
Data Fabric
Data Hub
Metadata-first Architecture
Serverless Options
Cloud Computing
Cloud Architectures
Amazon EC2 ( Compute)
S3 (Storage)
Amazon RDS (Database)
Glue (ETL)
Azure Virtual Machines
Azure Blob Storage
Azure SQL Database
Data Factory (ETL)
Compute Engine (Compute)
Google Cloud Storage
Cloud SQL (Database)
Dataflow
Types of Data Ingestion
Batch
Hybrid
Realtime
Data Pipelines
Extract Data
Transform Data
Load Data
Apache Airflow
dbt
Luigi
Prefect
Cluster Computing Basics
What is Cluster Computing
Distributed File Systems
Job Scheduling
Cluster Management Tools
Kubernetes
Apache Hadoop YARN
HDFS
Big Data Tools
HDFS
MapReduce
YARN
Apache Spark
Containers & Orchestration
Docker
Kubernetes
Google Cloud GKE
AWS EKS
CI/CD
GitLab CI
Circle CI
GitHub Actions
ArgoCD
Monitoring
Prometheus
Datadog
Sentry
New Relic
Testing
Integration Testing
Unit Testing
End-to-End Testing
Functional Testing
A/B Testing
Load Testing
Smoke Testing
Messaging Systems
What and why use them?
Async vs Sync Communication
Messages vs Streams
Best Practices
Apache Kafka
RabbitMQ
AWS SQS
AWS SNS
Infrastructure as Code - IaC
Declarative vs Imperative
Idempotency
Reusability
Environmental Management
Terraform
OpenTofu
AWS CDK
Google Deployment Mgr.
Data Analytics
Business Intelligence
Microsoft Power BI
Streamlit
Tableu
Looker
Reverse ETL
ETL vs Reverse ETL
Reverse ETL Usecases
Census
Segment
Hightouch
Authentication, Authorization
Encryption
Tokenization
Data Masking
Data Obfuscation
Data Quality
Data Lineage
Metadata Management
Data Interoperability
Data Quality
GDPR
ECPA
EU AI Act