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Azure Data Engineer Training in Hyderabad

Looking to build a strong career in modern data engineering? At Openminds Technologies, our Azure Data Engineering course in Hyderabad helps you understand how large-scale data is collected, processed, and transformed in real-world cloud environments. From building data pipelines and working with Azure Data Factory to processing big data with Databricks, PySpark, SQL Server, and Python, this course focuses on practical skills used by today’s data engineering teams. It’s hands-on, beginner friendly, and designed for roles that require real application of cloud data technologies.
Learn with us and see how powerful data solutions can be when you know how to build and manage them the right way on Azure.
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3 months

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2 Demo Sessions
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what is this course?

What is Azure Data Engineering Training?

An Azure Data Engineering course in Hyderabad is designed to help learners understand how large volumes of data are collected, processed, and managed in modern cloud environments.
The training typically covers core data engineering concepts, building data pipelines using Azure services, working with tools like Azure Data Factory, Azure Databricks, PySpark, SQL Server, and Python, along with hands-on projects that simulate real-world data processing scenarios.
who uses it?

Who uses Azure Data Engineering?

Azure Data Engineering is used by professionals and organizations that manage, process, and analyze large volumes of data to support analytics, reporting, and business intelligence.
Data Engineers
Azure Data Engineers, Big Data Engineers, ETL Developers, Data Pipeline Engineers
To design and build scalable data pipelines, process large datasets, and manage data platforms on cloud infrastructure.
Data Analysts & Business Intelligence Professionals
Data Analysts, BI Developers, Reporting Analysts, Analytics Engineers
To prepare and transform data for reporting, dashboards, and business insights using structured data pipelines.
Software & Cloud Engineers
Cloud Engineers, Backend Developers, Platform Engineers
To integrate data systems with applications, manage cloud storage, and build data-driven solutions on Azure.
Organizations Handling Large-Scale Data
Finance, Healthcare, E-commerce, Technology Companies
To process, store, and analyze large datasets for decision-making, predictive analytics, and operational efficiency.
is this for you?

Who should learn Azure Data Engineering?

The Azure Data Engineering course training in Hyderabad is ideal for:

  • Fresh graduates in Computer Science, IT, or related technical fields

  • Working professionals in Data Engineering, Data Analytics, and Software Development

  • Database administrators and SQL professionals looking to move into cloud data platforms

  • Data analysts who want to work with large-scale data pipelines and cloud technologies

  • IT professionals interested in building careers in big data and cloud data engineering

Whether you’re a fresher or an experienced professional, the demand for Azure Data Engineering skills continues to grow, making it a strong and future-focused career investment.
Course Objective

Our Azure Data Engineer Course Objectives

Master Azure Data Engineering Fundamentals
Understand core data engineering concepts and cloud data architecture
Build Scalable Data Pipelines
Learn to create and manage ETL/ELT workflows using Azure Data Factory
Develop Strong Data Processing Skills
Work with structured and semi-structured data using SQL Server and Python
Apply Data Engineering in Real-World Scenarios
Build end-to-end data engineering projects using Azure tools
Curriculum

Azure Data Engineer Course Curriculum

Introduction to Data Engineering & Cloud Concepts
  • Overview of data engineering and modern data architectures
  • Understanding cloud computing and Microsoft Azure basics
  • Data storage and processing concepts
  • Introduction to Azure data services
  • Azure Storage, Azure Data Lake, and data management basics
  • Data ingestion and cloud data workflows
  • SQL fundamentals and advanced queries
  • Joins, window functions, and data transformations
  • Database design and performance optimization
  • Python fundamentals for data processing
  • Working with data using libraries like Pandas
  • File handling and automation scripts
  • Building ETL/ELT pipelines
  • Data integration and orchestration
  • Scheduling and monitoring pipelines
  • Introduction to Apache Spark architecture
  • Working with Azure Databricks workspace
  • Spark clusters, notebooks, and data processing
  • DataFrames and transformations in PySpark
  • Handling large datasets and performance optimization
  • Working with structured and semi-structured data
  • End-to-end data pipeline project
  • Data ingestion, transformation, and storage workflows
  • Best practices for deployment and data management
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Course Highlights

Azure Data Engineer Course in Hyderabad Highlights

Practical Skills
Hands-on training with Azure Data Factory, Azure Databricks, PySpark, SQL Server, and Python
Comprehensive
Covers the full data engineering workflow from data ingestion to processing and analytics
Career-Focused
Curriculum aligned with industry data engineering roles and responsibilities

Flexible

Batch flexibility and recorded sessions for convenient learning
What careers you can expect

Job Opportunities for Azure Data Engineering Professionals

Azure Data Engineer
Data Engineer
Big Data Engineer
ETL Developer
Data Pipeline Engineer
Analytics Engineer / BI Engineer
Frequently Asked Questions

Azure Data Engineer Course FAQ’s

Yes. With proper training, even freshers can enter the field as entry-level Data Engineers, Azure Data Engineers, or ETL Developers, where they work on building and managing data pipelines, processing large datasets, and supporting analytics systems.

Yes. Institutes like Openmind Technologies offer both live and recorded online sessions.

Yes. Personalized mentorship options are available for professionals who want tailored guidance.

Experienced AI professionals with 8–15 years of hands-on industry expertise.

Common certifications include Microsoft Azure Data Engineer Associate (DP-203), Azure Fundamentals (AZ-900), Databricks Certified Data Engineer, and the institute-provided course completion certification from Openminds Technologies.
Freshers can expect around ₹4–8 LPA, while experienced professionals may earn ₹8–20 LPA or more, depending on their skills, project experience, and the role they secure.

Most Azure Data Engineering courses typically last 3 to 4 months, depending on the learning mode, batch schedule, and depth of practical training included.

UPI, Net Banking, Debit/Credit Cards, and EMI options are available.

Yes, demo classes are offered to help learners evaluate the program.

Most institutes allow batch flexibility, letting students attend missed classes with other groups.

You can reach Openmind Technologies’ admission team directly via their website or phone.

Generally, recordings are accessible for 6–12 months post-course completion.

Learn new skills

Check out these courses

Databricks
Azure Data Factory
Certificate

Course Completion Certificate

On successful completion of the Generative AI course, students will receive a Course Completion Certificate from OpenMinds Technologies. The certificate validates the learner’s training in core Generative AI concepts, tools, and practical implementations covered during the program.
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