At Quality Thought, learners can build practical Azure Data Engineering training in Hyderabad skills through structured classroom learning, hands-on exercises, and real-world implementation. The program covers modern Azure data engineering tools and workflows with practical guidance for learners developing job-ready technical skills. Explore More Courses from Quality Thought for additional career-focused training programs.
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Choose a learning format and schedule that fits your lifestyle
Everything you need to build practical Azure Data Engineering skills
Work on real-world projects from day one with industry use cases
Learn from industry professionals with 10+ years of experience
Dedicated placement cell with assistance until you get hired
Get certified and boost your resume with recognized credentials
Access to learning materials and recorded sessions
Weekly mock interviews to prepare you for real job scenarios
Professional resume preparation and LinkedIn profile optimization
Communication, aptitude, and personality development sessions
● Pay After Placement Options Available
● Flexible Payment Plans
● 6-12 Months LMS Access
● Doubt Clearing Sessions
● 24/7 Learning Support
● Mega Job Drives
Comprehensive training designed to accelerate your career
Comprehensive modules covering Azure Data Factory, ADLS, Azure SQL, Databricks, Synapse, PySpark, and data engineering
Azure Data Factory • ADLS • Azure SQL • Databricks • Synapse • PySpark
Everything you need to get started with Azure Data Engineering
Your success is our priority. Here’s what makes us the best choice for your career growth
Years Experience
Students Trained
Hiring Partners
Placement Rate
Established training institute with proven track record of producing industry-ready professionals
Learn from trainers with 10+ years of real-world industry experience in leading tech companies
Dedicated placement cell with tie-ups with 500+ companies. We support you until you get hired
Updated syllabus covering latest technologies and industry best practices with hands-on projects
Not just training, but complete career transformation with soft skills and interview preparation
Flexible payment options including pay after placement for eligible candidates
Multiple batch timings to suit working professionals, students, and freshers
Work on real client projects during internship at Ramana Soft IT company
We provide structured learning and career-focused support for learners developing practical Azure data engineering skills. Learners can explore the Azure Data Engineer job guarantee course and build implementation experience through the Azure Data Engineer real-time project.
Get industry-recognized certification that validates your skills and boosts your career prospects
Azure Data Engineer
This certifies that
[Your Name]
has successfully completed the
Azure Data Engineer
Training Program
Ameerpet, Hyderabad
QT-2024-XXXX
Our certificates are recognized by leading companies and add credibility to your resume
Proves your expertise in Azure Data Engineering and the technologies covered in the program
Increases your chances of getting hired and helps in salary negotiations
Get both digital certificate for online sharing and physical certificate for framing
Upon successful completion of training program
For I&I program from Ramana Soft IT Company
For major projects completed during training
Classroom training runs at Flat No. 302, 3rd Floor, Nilgiri Block, Aditya Enclave, Ameerpet, Hyderabad, Telangana 500016. The centre provides classroom-based Azure Data Engineering training for learners building practical skills.
The centre is in Aditya Enclave, Ameerpet, a short walk from Ameerpet metro station, which is served by both the Blue and Red lines.
Confirm current weekday and weekend classroom timings before publishing. Call +91 9963486280 for today’s schedule. These learning options can support professionals planning a career change to data engineering while managing their existing commitments.
Yes, the Ameerpet centre provides lab systems for instructor-guided hands-on Azure and Fabric practice during classroom sessions. This practical environment can support Azure Data Engineering for non-IT beginners and learners developing their skills through Microsoft Fabric training. Confirm current lab capacity and whether learners may also use personal laptops.
Both cover an identical curriculum. Classroom suits learners who want in-person mentoring and peer study, while online suits those outside Hyderabad or with unpredictable schedules. The practical learning format can also support professionals working toward a data analyst to data engineer transition.
Confirm the current mode-switching policy with the admissions team. Learners planning their preparation can choose the available format based on their schedule and learning requirements.
Confirm the current cap on classroom batch size rather than publishing an assumed number. Learners can also discuss available Azure Data Engineering corporate training formats with the training team if they are enquiring on behalf of an organisation.
Confirm with the current cohort whether Telugu or bilingual instruction is offered alongside English-medium teaching. Learners comparing programs can also consider curriculum depth, practical learning, delivery format and career support when evaluating the best Azure Data Engineering course 2026.
Yes, resume review, mock interviews and placement assistance apply on the same eligibility basis for classroom and online learners. Learners can also ask about Azure Data Engineering jobs USA when discussing their broader career goals and target opportunities.
Yes, call +91 9963486280 to arrange a visit, sit in on a demo session and see the lab setup before you decide. Learners interested in certification-focused preparation can also ask about DP-700 certification training and how practical project work fits into their preparation.
Build practical Azure Data Engineering skills with Azure Data Factory, ADLS, Azure SQL, Databricks, Synapse, PySpark, and Delta Lake. Learn to create data pipelines, transform data, integrate Azure services, and work with real-time data engineering scenarios.
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