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PG Program in Data Engineering in pune
Prominent Academy Azure Data Engineering Training in, Pune Joining a data engineering route may be a strategic skip for several reasons: Core to Data Science: Data engineering is critical to the data science technology expertise area, providing the backbone for information scientists and analysts to perform their work. Technical Challenge: This includes complicated programming and system design that may be intellectually stimulating and rewarding. High Demand: With the exponential growth of statistics, expert records engineers are in excessive demand at some point of various industries. Attractive Salaries: Data engineering is thought to supply competitive salaries. In India, for example, the average profit for a record engineer is spherical ₹7.3 lakhs constant with 12 months, with capacity to earn a splendid deal greater with experience. Career Growth: There’s a clear path for professional development, from getting right out of entry-level positions to senior roles, as you gain enjoyment and understanding. As for the gadget, recording engineers commonly use an entire lot of generation, such as but not limited to: Databases: like MySQL, PostgreSQL, and NoSQL databases along with MongoDB. Big Data Tools: together with Apache Hadoop and Apache Spark. Data Warehousing: answers like Amazon Redshift and Snowflake. ETL Tools: for fact extraction, transformation, and loading, along side Apache Airflow and Talend. Cloud Platforms: like AWS, Azure, and Google Cloud Platform for scalable data storage and processing. These devices are essential for constructing and retaining the infrastructure that allows facts series, storage, processing, and evaluation. Mastery of these gadgets, mixed with the information gained from a Data engineering course, can function you for a worthwhile profession in this immoderate-boom industry. This live teacher-led schooling software helps you work on LIVE Sessions in, pune
Apex Visualforce Javascript CSS HTML SOUL Apart from this, you ought to understand internet improvement tools like Git, Eclipse, ID, and Sublime
we suggest that you need to understand and deeply analyze the necessities and needs of the customers. Therefore, analytical abilties and competencies are critical to successfully transform the design/code and construct a protracted-term profession in Salesforce.
We all recognize that no CRM platform is loose from errors, insects, and problems. So, wonderful realistic understanding and problem-solving talents are important for Salesforce developers. Adequate understanding and quick hassle fixing will help keep the Salesforce platform go with the flow.
Become a Data Engineer Certified Professional using Microsoft Azure in Pune [Updated 2025]✅
Joining a Data engineering route may be a strategic skip for severa motives: Core to Data Science: Data engineering is critical to the data science technology expertise area, providing the backbone for information scientists and analysts to perform their work1. Technical Challenge: This includes complicated programming and system design that may be intellectually stimulating and rewarding. High Demand: With the exponential growth of statistics, expert records engineers are in excessive demand at some point of various industries. Attractive Salaries: Data engineering is thought to supply competitive salaries. In India, for example, the average profit for a record engineer is spherical ₹7.3 lakhs constant with 12 months, with capacity to earn a splendid deal greater with experience. Career Growth: There’s a clear path for professional development, from getting right out of entry-level positions to senior roles, as you gain enjoyment and understanding. As for the gadget, recording engineers commonly use an entire lot of generation, such as but not limited to:Databases: like MySQL, PostgreSQL, and NoSQL databases along with MongoDB. Big Data Tools: together with Apache Hadoop and Apache Spark. Data Warehousing: answers like Amazon Redshift and Snowflake. ETL Tools: for fact extraction, transformation, and loading, along side Apache Airflow and Talend. Cloud Platforms: like AWS, Azure, and Google Cloud Platform for scalable data storage and processing. These devices are essential for constructing and retaining the infrastructure that allows facts series, storage, processing, and evaluation. Mastery of these gadgets, mixed with the information gained from a Data engineering course, can function you for a worthwhile profession in this immoderate-boom concern.
A Data Engineer also depends on the agency you’re operating with. According to the records, organizations like Cognizant and Accenture Technology Solutions provide better salaries. we will teach you hands-on experience in our data engineering course in, Pune. Let’s see what some of the famous organizations provide:
Specific talents set in reality will increase your command for better salaries. There are specific competencies which might be majorly in demand when you are in the race to become a Data Engineer and together with your knowledge in those talents, you can proudly call for for higher salary. Let’s test a few of these talents and the average salary concerning: in our course we provide the avg salary for azure data engineer goes to 7 to 8 lpa
Average : ₹10,14,698 Range : ₹9,74,272 – ₹10,55,124 The average salary for Azure Data Engineer is ₹16,84,698 consistent with yr within India. The average additional cash reimbursement for an Azure Data Engineer inside India is ₹10,14,698, with a range of ₹9,74,272 – ₹10,55,124. Salaries estimates are based on 225 salaries submitted anonymously to Ambitionbox by Azure Data Engineer employees in,Pune
You will learn the following concepts:
You will learn the following concepts:
You will learn the following concepts:
You will learn the following concepts:
You will learn the following concepts:
You will learn the following concepts:
The demand for data engineers compared to data scientists and data analysts is a mirrored image of the evolving wishes of the industry. As of recent statistics: Data Engineers: They are in high demand due to the need for robust statistical infrastructure. Companies are searching out experts who can construct and control the systems that allow for efficient statistics collection, storage, and processing. Data Scientists: While additionally in high call for, the focal point on data scientists has been severe, and there’s a growing awareness that without the proper statistical infrastructure that engineers provide, data scientists can’t carry out their roles effectively. Data Analysts: They are essential for decoding facts and supplying actionable insights, however, their position is often taken into consideration entry-stage as compared to the greater technical roles of facts engineers and scientists.
They cover everything except Informatica or any ETL tool , Tableau, Power BI , SnowSQL scripting other thn that everything was good in in batch dec we have approximately 27 students & only 3,4 students not get placed seriously when i was hesitate to join this class bhot sare institute dekhe hai ye log kya he alag denge hume aisa tha lekin sach mai bhot kam karte sab ke upar unke batches bhi kam hote hai isliye har ek student pe kam kar sakte hai💯but ye log 1st month salary charge karte hai starting mai muje laga fees bhi bharu 1st month salary bhi socha jab palcement hojayega tab dekha hu sach mai placemetn dete hai ki nhi. Lekin salary ke liye to ye log itna kam karte hai but i think acha hai muje job to mila.
The main thing they teach vry well these topics python & spark (Pyspark), for complex data processing tasks within Azure data factory, they covered azure rather then aws.most of the opening are now in azure as compered to aws .they covered Azure cloud platform and services, particularly Azure Data Factory (ADF). with they teach sql also in that the main concept like SQL for querying and manipulating data , querying databases, and optimization theses are the best topics covered but integration in that not teach upto the mark may be they will improve in the next batch. At the time of placement 1:1 session going on before giving intechnical interview acha hai ye ye unique way hai kuch to bhi alag.
Me non -tech background cha ahe BE civil 2021 passout raisoni college, suru watila kahi ch kalycha nhi bapre🤯 sagla dokyavrun jaycha n sobatche khi e&tc, computer, IT , Mech wale sagle hote but jikde sagle baki chya branch che tyana compete karna awghad hota but te loka 1:1 mentoring dyachi chngla hota ha feaature tyancha pn mala ek pratik sir ale hote te navte changle baki chya kahi hote changle class jhalyvr 1.5 mahinyat laglo me job la job
Data engineers work in diverse settings to build systems that collect, manage, and convert raw data into usable information for data scientists and business analysts. Their goal is to make data accessible for organizations to evaluate and optimize performance.
Average salary for Data Engineers in India: ₹4–35+ lakhs per annum.
Skills in Azure Databricks, Azure Data Factory, Synapse, Spark, Python can help command higher salaries.
Yes, a good foundation in mathematics and statistics is essential. Data engineers must also be familiar with database systems like MySQL and Oracle.
Some of the highest-paying IT jobs in India include:
Yes, to some extent. While some tasks might be automated, the role will evolve to include more strategic responsibilities.
No prior experience is required. However, basic knowledge of Python and databases is helpful. The course is beginner-friendly and progresses to advanced topics.
Yes. Projects involve real datasets and tools like Azure Databricks, Data Factory, Synapse, Spark, SQL, and Python.
Yes. You’ll receive a Data Engineering Certification from Prominent Academy, recognized by industry leaders.
Azure Databricks: Platform for big data processing and machine learning using Apache Spark.
Azure Data Factory: ETL service for data integration and orchestration.
You’ll learn how to use both together for building data pipelines.
Yes. The course has beginner-friendly modules for Python and SQL for data processing and querying.
Click the Enroll Now button on the course page. You can also Request a Free Demo or Talk to a Career Advisor.
The course fee is competitive and includes all materials, projects, and certification. Download the brochure or contact support for detailed pricing.
No refunds are offered after purchase. However, the course includes mentorship, doubt sessions, and guidance to support your success. Attend a free demo or talk to an advisor before enrolling.
Yes. Many students have done it. The course starts from basics and progresses to advanced topics. Willingness to learn is key.
Yes. You’ll deploy and manage pipelines using Azure Data Factory, Databricks, and Synapse.
If you're interested in working with data, solving real-world problems, and building pipelines, this course is ideal. You can also request a free demo or talk to a career advisor.
Absolutely. The projects are industry-relevant and can be included in your resume, LinkedIn, and portfolio.
The job market is strong. Skills in Azure Databricks, Data Factory, Spark, and Python are in high demand across industries.