Data Engineering
Data Engineering Course Online
ETL, Pipelines & Cloud Data
Master ETL and pipelines through practical online training. Build robust cloud data solutions with hands-on project work. Benefit from mentor-led guidance, thorough mock interview preparation, and build career-focused skills.
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Course Duration: Self-paced
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Skill Level: Beginner
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Training Language: English
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Learning Mode: Online
Mentor-Led, Hands-On Learning
Become a job-ready Data Engineer. Build and operate robust data platforms—batch and streaming—from ingestion to storage, transformation, governance, and analytics enablement. Foundations: SDLC, Agile vs Waterfall; the data engineering role and core terminology Programming: Python & R for pipelines and...
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Hands-On Projects
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Mentor-Led Support
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Tekizz Academy Course Completion Certificate
After successful completion, you will receive a Tekizz Academy digital certificate that supports your professional profile, validates your course participation, and highlights your practical learning progress.
- check_circle Shareable certificate for LinkedIn and professional profiles
- check_circle Useful for resume and LinkedIn profile updates
- check_circle Access to Tekizz Academy learner support community
Course Curriculum & Practical Modules
A structured learning roadmap designed to build practical skills through step-by-step lessons, hands-on exercises, real-world examples, and career-focused training.
WEEK 01
Introduction to Data Engineering
- play_circle Overview of Data Engineering
- play_circle Roles & Responsibilities
- play_circle Importance in Business
- + 1 more lessons
WEEK 02
Methodologies: SDLC, Agile & Waterfall
- play_circle Software Development Life Cycle (SDLC)
- play_circle Phases of SDLC & Data Projects
- play_circle Principles of Agile & Agile in Data
- + 1 more lessons
WEEK 03
Programming for Data Engineering
- play_circle Python: Basic Syntax & Structures
- play_circle Python: NumPy & Pandas for Data Manipulation
- play_circle R: Basics & Data Manipulation
- + 1 more lessons
WEEK 04
IDEs & Interactive Environments
- play_circle PyCharm: Setup, Write & Debug
- play_circle Jupyter: Interactive Analysis & Visualization
WEEK 05
Py Data Stack: NumPy, Pandas, Viz
- play_circle NumPy Array Operations
- play_circle Pandas DataFrame Manipulation
- play_circle Matplotlib Core Plots
- + 1 more lessons
WEEK 06
SciPy, scikit-learn & PyTorch (Basics)
- play_circle SciPy for Scientific Computing
- play_circle scikit-learn ML Workflows
- play_circle PyTorch: Intro & Model Training Basics
WEEK 07
BI & Reporting: Tableau, Power BI, QlikView
- play_circle Tableau: Interactive Dashboards
- play_circle Power BI: Reports & Dashboards
- play_circle QlikView: Visualization & Reporting
- + 1 more lessons
WEEK 08
Hadoop & the Big Data Ecosystem
- play_circle Hadoop Architecture & Components
- play_circle HDFS & MapReduce
- play_circle Hive: Warehousing Concepts
- + 1 more lessons
WEEK 09
Apache Spark: Core & Spark SQL
- play_circle Spark Core: RDDs & DataFrames
- play_circle Transformations & Actions
- play_circle Spark SQL: Writing Queries
- + 1 more lessons
WEEK 10
ETL & Orchestration: Sqoop & Airflow
- play_circle ETL Concepts & Patterns
- play_circle Sqoop: Import/Export between Hadoop & RDBMS
- play_circle Apache Airflow: DAGs & Scheduling
WEEK 11
AWS Data Services
- play_circle AWS: Accounts & Resource Setup
- play_circle S3 for Data Storage & Ingestion
- play_circle Redshift for Data Warehousing
WEEK 12
Operational Datastores
- play_circle SQL Server (SSMS): Setup & Advanced SQL
- play_circle PostgreSQL: Setup & Advanced SQL
- play_circle MongoDB: NoSQL Concepts & CRUD
WEEK 13
Data Warehousing
- play_circle Data Warehouse Architecture
- play_circle ETL Processes for Warehousing
- play_circle Serving Data to BI & Analytics
WEEK 14
Streaming with Apache Kafka
- play_circle Batch vs Stream Processing
- play_circle Kafka: Topics, Producers, Consumers
- play_circle Building Real-Time Pipelines with Kafka
WEEK 15
Data Cleaning & Preprocessing
- play_circle Handling Missing Values
- play_circle Transformations & Standardization
- play_circle Feature Engineering: Scaling & Normalization
WEEK 16
Version Control & Collaboration
- play_circle Git: Commands & Concepts
- play_circle Branching & Merging
- play_circle GitHub: Repos, PRs & Reviews
WEEK 17
Performance Optimization
- play_circle Indexing & Query Optimization
- play_circle Performance Tuning for ETL
- play_circle Spark Resource Management
WEEK 18
Security, Governance & Compliance
- play_circle Data Security Best Practices
- play_circle Encryption & Data Masking
- play_circle Data Quality Management
- + 1 more lessons
WEEK 19
Productivity & Reporting
- play_circle MS Office for Documentation & Reporting
- play_circle Excel: Advanced Techniques & Analysis
WEEK 20
Capstone Project
- play_circle Defining Scope & Architecture
- play_circle Building & Orchestrating Pipelines
- play_circle Warehousing & Serving Data
- + 1 more lessons
Secure Your Course Enrollment
Join this Tekizz Academy online course and build practical, career-focused technology skills with flexible learning support.
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Quick Course Access
Access course materials and learning resources after enrollment.
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Mentor-Led Guidance
Get structured guidance, doubt-clearing support, and career-focused learning help.
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Course Frequently Asked Questions
Who is this course for? expand_more
Aspiring and upskilling data engineers who want practical, end-to-end platform skills from ingestion to serving and governance.
Which big data tools are covered? expand_more
Hadoop (HDFS/MapReduce), Apache Spark (Core & Spark SQL), and Hive for warehousing.
Do you teach streaming? expand_more
Yes—Apache Kafka for real-time pipelines, with producers/consumers and end-to-end flows.
What ETL/orchestration tools are included? expand_more
Sqoop for RDBMS↔Hadoop transfers and Apache Airflow for workflow orchestration.
Which databases and clouds are used? expand_more
SQL Server, PostgreSQL, MongoDB; AWS S3 and Redshift for storage and warehousing.
Is BI/reporting part of the course? expand_more
Yes—Tableau, Power BI, and QlikView dashboards, plus Excel/Office for documentation.
Do you cover performance and security? expand_more
Yes—query tuning, ETL and Spark optimization, encryption/masking, and governance/compliance (GDPR/HIPAA).
Is there mentorship or interview prep? expand_more
Yes—1:1 mentorship and mock interview preparation are highlighted.
Is there a capstone project? expand_more
Yes—design and deliver an end-to-end data platform with pipelines, warehousing, and BI.