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Become an Azure Data Engineer and Unlock Opportunities with Our Comprehensive Training

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Course Duration

40 Hrs.

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  • The Azure Data Engineer Course helps you become good at data engineering in Azure. It is a practical program covering all the important tools and techniques you need to know. Embark on a transformative journey in Azure Data Engineering. Enrol today to unlock a world of opportunities in the world of data management and data analytics!
  • Key Features:
    • Hands-on Learning: Dive into real-world projects and case studies to gain practical experience.

      Expert-Led Instruction: Learn from industry professionals and Azure-certified trainers.

      Comprehensive Curriculum: Master Azure data services, including Azure Data Lake, Data Factory, Databricks, and more.

      Certification Preparation: Prepare for the Azure Data Engineer Certification with tailored guidance.

      Flexible Learning: Access resources online at your convenience, with flexible study options.

  • Who Can Enroll:
    • Aspiring Data Professionals: Those aiming to work with data, analyze trends, and derive insights.

      Data Analysts: Individuals interested in interpreting data to support business decisions.

      Software Engineers: Those seeking to delve into data management within Azure.

      Enthusiasts of Azure Data Management: Anyone keen on leveraging Azure for handling and analyzing data.

      Career Advancers in Cloud-Based Data Engineering: Individuals looking to boost their career in cloud-driven data engineering.

  • Prerequisites for Azure Data Engineer Course:
    • Cloud Computing Basics: Some familiarity with cloud concepts is recommended.

      Database Understanding: Knowing the fundamentals of databases is beneficial.

      Passion for Learning: Enthusiasm and a willingness to learn are the key prerequisites.

Azure Data Engineer Course

About-Us-Course

  • Objectives of Azure Data Engineer Course:
    • Master Azure Data Tools: Get good at using Azure's different data tools like Azure Data Lake, Data Factory, and Databricks.

      Design and Build Solutions: Learn how to make data solutions using Azure services smartly and effectively.

      Blend and Change Data: Figure out how to smoothly put different data together, change it, and analyze it using Azure.

      Get Ready for Certification: Prepare well for the Azure Data Engineer Certification test to do great in it.

      Use Skills in Real Projects: Work on hands-on projects to practice and use what you've learned in real situations.

      Solve Problems Together: Improve your problem-solving by working with others on data engineering challenges in a team.

  • After finishing the Azure Data Engineer Course, expect annual salaries between $90,000 to $130,000, varying by region and experience. The course's specialized knowledge sets you up for high-paying roles in data engineering.
  • Salary Expectations Highlights:
    • Entry-Level Range: Starting salaries typically begin around $90,000 per year.

      Mid-Level Positions: With experience, professionals can earn between $100,000 to $120,000 annually.

      Senior Roles: Senior Azure Data Engineers often command salaries exceeding $130,000 per year.

  • This course equips graduates with sought-after expertise, paving the way for rewarding career opportunities and competitive compensation packages in the thriving field of Azure data engineering.

  • Upon completing the Azure Data Engineer Course, individuals enter a dynamic landscape ripe with career opportunities. Roles such as Azure Data Engineer, Data Analyst, or Cloud Engineer await, offering a gateway to a spectrum of possibilities. This course catalyzes continual career progression, enabling graduates to thrive in the ever-evolving domain of data engineering.
    • Entry-Level Positions: Begin as Azure Data Engineers or Data Analysts, contributing to data-driven initiatives.

      Mid-Level Advancement: Progress to senior roles, leading data engineering projects or specializing in cloud-based analytics.

      Senior Positions: Attain managerial roles, overseeing data infrastructure or becoming data engineering consultants.

      Specialized Pathways: Pursue specialized domains like machine learning engineering, big data architecture, or cloud solutions architecture.

  • Discover the power of the Azure Data Engineer Course. It opens many doors for careers in data engineering and analytics, offering exciting opportunities to explore and grow in this field.

  • The Azure Data Engineer Course is highly sought after because of Azure's cloud dominance and the reliance on its robust data management tools. Its hands-on learning, industry-aligned curriculum, and expert guidance make it a prime option for mastering Azure-based data solutions.
  • Reasons for Popularity:
    • Azure's Dominance: Azure's leading position in the cloud market drives demand for skilled Azure Data Engineers.

      Relevance to Industry Needs: The course directly addresses real-world data challenges, aligning with industry demands.

      Practical Learning: Emphasizing hands-on projects, enabling direct application of acquired skills.

      Expert Instruction: Learning from industry professionals and Azure-certified trainers.

      Career Prospects: Meeting the rising demand for professionals adept in Azure data services.

  • Job After Completing the Azure Data Engineer Course:
    • Designing Data Solutions: Architecting and implementing data storage solutions using Azure services.

      Data Processing: Developing and deploying data processing pipelines for efficient data movement and transformation.

      Optimization: Streamlining and optimizing data pipelines to enhance performance and reliability.

      Collaboration: Collaborating with cross-functional teams to integrate data solutions into business processes.

      Maintenance & Support: Ensuring the ongoing maintenance and support of data systems for optimal functionality.

  • Top Industries:
    • Information Technology & Services: IT firms leveraging Azure for data solutions and cloud-based services.

      Finance: Banks, financial institutions, and fintech companies utilizing Azure for secure data storage and analysis.

      Healthcare: Hospitals, research facilities, and healthcare providers managing patient data on Azure platforms.

      Retail: E-commerce platforms and retail chains using Azure for customer analytics and inventory management.

      Manufacturing: Companies employing Azure for data-driven automation and supply chain optimization.

  • Upon successful completion of the course, participants will receive a recognition certificate. This certificate acknowledges their proficiency in Azure Data Engineering. It also enhances their credibility in the job market.

Why Should You Learn Azure Data Engineer?

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FAQ's

While programming experience is beneficial, the course covers fundamental programming concepts required for Azure Data Factory.

The duration varies based on the learning pace, but typically, it spans around 3 to 6 months.

Absolutely! The course curriculum aligns with the certification exam objectives, ensuring comprehensive preparation.

While the course doesn't guarantee placements, it provides career support, including job readiness training and assistance with resume building and interview preparation.

Yes, participants retain access to course materials and resources even after completing the program for ongoing reference and learning.

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Real-life Case Studies

Case studies based on top industry frameworks help you to relate your learning with real-time based industry solutions.

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