LevelUp’s Postgraduate Program in Cloud Data Engineering is the ideal program for professional exposure. Aligned with AWS Azure & GCP certifications, this applied learning program will help all master crucial Data Engineering skills.

8+Modules | 30+ Lessons | 25+ Labs | 40+ Projects | Mock Exams | CV Review| On-job Support



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What Does a Cloud Data Engineer Do?

Migrating on-premises corporate applications and related data to the cloud
Designing and deploying new applications directly in the cloud
Identifying best practices for cloud services monitoring and management and promoting these best practices across the corporation
Researching and implementing cloud services to support cloud apps and maintain cloud services
Monitoring cloud app performance for potential bottlenecks and resolving performance issues
Identifying and implementing cost-saving strategies to reduce ongoing cloud expenses
Automating key services and tasks across cloud systems to increase efficiency and further reduce cloud costs
Formulating a recovery plan and executing the plan in the event of cloud downtime or failure


Real Time Data Processing

Transforming Data

Big Data Analytics

Data Visualization

Implementing Security Requirements

Ingesting Streaming and Batch Data

Data Pipelining

Data Governance and Compliance Controls

Provisioning data storage services

Data Protection

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What is Cloud Data Engineering ?

Data engineering is a vital aspect of company growth, network interactions, and predicting future trends Without data engineering, it would be impossible to make sense of the huge amounts of data that are available to businesses.

Why Cloud Data Engineer?

Great insights begin with great data.  By moving your data pipelines to cloud-based architectures, you can take advantage of the flexibility and agility of modern cloud platforms and better position your data infrastructure to move at the speed of your business.

If you meet the following criteria, we will be happy to talk to you!

  • Any under-graduate / post-graduate degree from a recognized university.

  • Basic programming knowledge (SQL, Python) is good but not mandatory.

  • Access to a modern computer.

  • Steady broadband internet connection.

  • At least 6 hours of self-study time per day.

Some of the recognized cloud data engineer-related certifications include:

  • AWS Certified Solutions Architect

  • AWS Certified DevOps Cloud Engineer

  • Google Cloud Platform Professional Cloud Architect

  • Microsoft Azure Solutions Architect

Tools Covered

You will be able to master these 12 critical core skills…

Data Literacy


Spark & Pyspark

AWS Data Engineering

Azure Data Engineering

GCP Data Engineering

Big Data


Data Encryption

Creation of Data Pipeline

Data warehouse Management

Compliance & Security

There are 8 Modules in this Professional Certificate



Introduction To Data Engineering

  • What does a Data Engineer Do?
  • What is a data Pipeline
  • Importance of Data




  • Introduction to Database
  • Database objects – Tables, Views, Schema etc.
  • Introduction to SQL – Fundamentals of SQL Statement
  • Data Types
  • Constraints
  • SQL Queries – Joins, Aggregations
  • Data handling – String, Date etc.
  • Window Functions
  • SQL Programming – Statements, Cursor, Procedures, Fun
  • Database transactions
  • Exception Handling
  • Query optimization
  • Data Modelling – Relational modelling (ER)
  • Data warehousing



Spark & Pyspark

  • Spark introduction
  • Spark architecture
  • Spark jobs
  • Spark queries
  • Performance optimisation in spark
  • Understanding RDD
  • Working with data frames
  • working with select statements on spark
  • Performing aggregation
  • Performing Various Transformations



Introduction to Cloud

  • Cloud History
  • Why Should we adapt cloud
  • Different cloud deployment models
  • Introduction to Cloud Services on AWS
  • Introduction to Cloud Services on Azure
  • Introduction to Cloud Services on GCP



Azure Data Engineering

  • Introduction to Azure
  • Compute & Storage Options for Data Engineering Workloads
  • Working with Azure Synapse Analytics serverless SQL pools
  • Data exploration and transformation in Azure Databricks
  • Explore, transform, and load data into the Data Warehouse using Apache Spark
  • Ingest and load data into the data warehouse
  • Data Integration with Azure Data Factory or Azure Synapse Pipelines
  • Data Integration with Azure Data Factory or Azure Synapse Pipelines
  • Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link
  • Real-time Stream Processing with Stream Analytics
  • Create a Stream Processing Solution with Event Hubs and Azure Databricks




AWS Data Speciality (Big data on AWS)

  • Data Collection on AWS by using kinesis.
  • Storing data on AWS by using S3 & DynamoDB.
  • processing Data by using Lambda, Glue, Databrew, DataStudio & kinesis.
  • Analysing data by using AWS Kinesis analytics and Athena.
  • Designing & Building Datawarehouse with redshift.
  • Visualizing data with was QuickSight.
  • Creating DataPipelines with AWS Data pipelines.



GCP Data engineering

  • Working with BigQuery datawarehouse
  • Manipulating data by using Data Proc
  • Transforming Data by using Data Prep
  • Creating Data pipeline by using GCP DataFlow
  • Creating orchestration Pipeline using GCP AirFlow
  • Storing data in GCP DataLake
  • Understanding various GCP Databases



Hands on project

  • Project 1
  • Project 2
  • Project 3
  • Project 4
  • Project 5


What is a Professional Certificate?

Build the Skills to Get Job Ready

Whether you’re looking to start a new career, or change your current one, Professional Certificates on Coursera help you become job ready. Learn at your own pace, whenever and wherever it’s most convenient for you. Enroll today and explore a new career path with a 7 day free trial. You can pause your learning or end your subscription at any time.

Earn a Career Credential

When you complete all of the courses in the program, you’ll earn a Certificate to share with your professional network as well as unlock access to career support resources to help you kickstart your new career. Many Professional Certificates have hiring partners that recognize the Professional Certificate credential and others can help prepare you for a certification exam. You can find more information on individual Professional Certificate pages where it applies.

Satheesh Pabbathi

CEO of LevelUp - Teaching 5,000+ Students


Instructor ratings

1,250 Reviews

10,000 + Students

Sateesh Pabbathi is a solutions architect, consultant and software developer who has an interest in all things related to DevOps, Big Data, Cloud & API. He is recognized as Azure Certified Trainer and is an AWS Certified Solutions Architect Professional & AWS Certified , DevOps Professional. He loves to teach people how to use AWS, prepare for AWS certifications, and most importantly for the real world.

Sateesh Pabbathi is a solutions architect, consultant and software developer who has an interest in all things related to DevOps, Big Data, Cloud & API. He is recognized as Azure Certified Trainer and is an AWS Certified Solutions Architect Professional & AWS Certified , DevOps Professional. He loves to teach people how to use AWS, prepare for AWS certifications, and most importantly for the real world.

Get this Professional Certificate, plus unlimited access to 70+ courses, Projects, Specializations, and Professional Certificates

Frequently Asked Questions.

Data Engineering is an aspect of Data focused on the practical application of data collection and data pipelining. A Data Engineer builds and maintains the organization’s data pipeline systems by cleaning and wrangling it to ensure that the data quality is good and generate actionable insights from the data

Upon completion of this Data Engineering certification, you can apply for various job roles like Big Data Engineer, Data Analyst, or a Data Warehouse Engineer, Aws Data Engineer, Azure Data engineer, GCP Data Engineer.

Although the niche job role can change depending on the organization, in general, a Data Engineer is supposed to design, create, test, and maintain the data management and processing systems. In addition to that, a Data Engineer also builds scalable, robust, and fault-tolerant systems, and discover data acquisition opportunities, and create data models to reduce system complexities and introduce new data management tools into the existing systems to make them more efficient.

To ensure money is not a barrier in the path of learning, we offer various financing options to help ensure that this Data Engineering certification is financially manageable. Please speak to our counsellor for the details.

  • Lifetime Access to LMS
  • Access to  50+ mock exams
  • Access to  1500+ Interview Questions
  • Access to  90+ Real time Projects
  • 6 Months Job Support

With the Placement Guarantee program, we offer extended support for the certified learners who are looking for a job switch or starting with their first job. Upon successful completion of this Post Graduate Program in Cloud Data Engineering you will be eligible to apply for Placements and your details will be shared with Certain Companies.

As a part of this program, We will offer the following exclusive Services:


  • 6 months Job Support
  • Resume building assistance
  • Access to 1500+ Interview Questions
  • Career Mentoring and Interview Preparation sessions via Webinars


To participate in the Placement Guarantee program, you need to:

  • Be a graduate
  • Complete our Cloud Data Engineering Course successfully and earn the certificate upon completion

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