Azure Data Engineer
Learning Format
Online Mode
Total Training Duration
180 Hrs
Duration
4 Month
Certification
Yes
Azure Data Engineering Training Institute in Pune
1. Why Learning Azure Data Engineering is a Long-Term Investment:
Cloud computing is the future of business, and its demand will keep growing for the next 100+ years. By 2024, 85% of companies will run their systems on the cloud, powered by increasing amounts of data, AI, IoT, and automation. The global cloud computing market is expected to grow from $600 billion in 2023 to $1.6 trillion by 2030. This growth is creating a high demand for skilled professionals who can manage and optimize cloud infrastructures, especially those with GCP expertise.
Every day, 5 quintillion bytes of data are generated, and businesses need cloud platforms like Azure to store, process, and analyze this massive data. As data continues to grow, cloud platforms will become essential for handling large-scale data operations.
Companies are now offering lower salaries for those without expertise in cloud technologies. Many companies and clients are urging professionals to get certified in cloud platforms like Azure, recognizing the increasing importance of these skills. This is the perfect time to adopt cloud technologies and gain certifications, as it opens doors to high-paying job opportunities.
By learning Azure Data Engineering, you can not only advance your career but also position yourself for a stable, rewarding future in the ever-expanding cloud industry.
2. Pre-requisites:
- SQL & PL/SQL (Stored Functions, Stored Procedures, Indexes)
- Python
- Spark (PySpark, Spark SQL)
3. Azure Services: A Must for Data Engineers:
- Azure Data Factory
- Azure Databricks
- Azure Synapse
- Azure Storage
- Azure Data Lake
- Azure Blob Storage
- Azure Data Lake Storage
- Azure Cosmos DB
- Azure Logic Apps
- Azure Machine Learning
- Azure API Management
- Azure Event Hub
- Azure IoT Hub
4. Comparing Coding Complexity: Azure Data Engineers vs Java Developers
Azure Data Engineers: Coding complexity is around 50% compared to Java Developers, where the complexity is considered 100%.
5. Career Opportunities:
- For Experienced Professionals:
- Azure Data Engineer
- Cloud Data Engineer
- Big Data Engineer
- Data Analyst
- Business Intelligence Developer
- Cloud Solutions Architect
- For Freshers:
- Azure Data Engineer
- Cloud Data Engineer
- Data Analyst
- SQL Developer
- Python Developer
- Big Data Engineer
6. Job Opening:
The demand for Azure Data Engineering roles is growing rapidly and contributes to about 55-60% of the job market in the cloud and data fields.
7. Eligibility Criteria:
Educational Background: Minimum Requirement: A bachelor’s degree must be completed.
- Eligible Degrees:
- BE (all streams)
- B.Tech
- BCS
- BCA
- B.Com
- BBA
- Other related technical or non-technical bachelor’s fields
- And its relevant postgraduate degrees
- Diploma Holders:
- All streams may also be eligible.
- Communication Skills:
- Basic written and verbal communication skills.
- Ability to explain technical concepts clearly.
8. The Future of Data Engineering with Azure:
Demand & Growth: The demand for Azure Data Engineers is expanding across sectors like finance, healthcare, e-commerce, and manufacturing. Reports show that the global cloud computing market is expected to grow from $600 billion in 2023 to $1,600 billion by 2030, driving an increase in demand for Azure professionals.
Job Growth: According to the US Bureau of Labor Statistics, employment in cloud computing roles is projected to grow by 22% from 2020 to 2030, much faster than the average for all occupations. Similarly, job boards like LinkedIn and Indeed show an increasing number of job postings specifically targeting Azure Data Engineers as companies continue to scale their data infrastructure.
Increasing Data Roles: As businesses rely more on data, the role of Azure Data Engineers becomes more essential. By 2030, over 85 million jobs will require advanced data skills, strengthening the job security for Azure Data Engineers.
9. Annual CTC for Azure Data Engineers (Based on Experience):
- 0-1 Year Experience (Entry-Level):
- India: ₹4–6 LPA
- US: $60,000–$80,000
Job Role: Support data tasks, learn cloud tech, assist with data pipelines and cloud infrastructure setup
- 1-4 Years Experience (Junior/Mid-Level):
- India: ₹6–14 LPA
- US: $80,000–$110,000
Job Role: Build and manage data pipelines, handle data integration, optimize cloud environments, and automate processes.
- 4-8 Years Experience (Mid-Level/Senior):
- India: ₹10–25 LPA
- US: $110,000–$140,000
Job Role: Lead data architecture, develop ETL pipelines, mentor junior engineers, and handle large-scale data projects.
- 8+ Years Experience (Senior/Lead):
- India: ₹20–55+ LPA
- US: $140,000–$160,000+
Job Role: Oversee cloud data solutions, manage teams, lead strategic data projects, ensure system scalability, and optimize data flow.
Summary:
Azure Data Engineering offers significant salary growth with experience, ranging from ₹4-6 LPA (India) and $60,000–$80,000 (US) for entry-level roles to ₹20–55+ LPA (India) and $140,000–$160,000+ (US) for senior roles.
Pre-requisites:
- SQL & PL/SQL (Stored Functions, Stored Procedures, Indexes)
- Python
- Spark (PySpark, Spark SQL)
Azure Services: A Must for Data Engineers:
- Azure Data Factory
- Azure Databricks
- Azure Synapse
- Azure Storage
- Azure Data Lake
- Azure Blob Storage
- Azure Data Lake Storage
- Azure Cosmos DB
- Azure Logic Apps
- Azure Machine Learning
- Azure API Management
- Azure Event Hub
- Azure IoT Hub
Training Duration: 180 Hrs
Duration: 4 Months
Mode of Azure Training: Online
Trainer: Experienced Azure Consultant
IntelliBI Innovations & Technologies is Best Azure Data Engineering Training Institute in Pune
- For the past eight years, IntelliBI has been a leader in training for AI and Business Intelligence (BI). Our expertise is in AWS, Azure, GCP, Data Science, and Artificial Intelligence.
- We Are Well-Known: We teach step by step, starting with fundamental concepts and progressing to advanced skills, with a complete focus on practical-based training.
- We have an excellent placement record. On average, 85% to 90% of our students find jobs after completing their training
- Our Key to Success: No Marketing Needed for Our Courses: We don’t spend money on advertising, instead, we grow through referrals from satisfied customers. Our students’ success stories prove the effectiveness of our training.
- We have received many appreciations from many MNC companies for our exceptional corporate training quality and impactful results.
- We have trained and successfully placed over 1,200+ professionals.
- We are partnered with leading MNCs to upskill their workforce.