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Data Engineering | Launch Your Career in Tech | Baner Pune | - 100% Job Guarantee - 5-20 LPA

Become a Data Engineer certification training using Microsoft Azure in Baner, Pune [Updated 2025]

  • ⦿ Gain knowledge from experienced data experts
  • ⦿ 6 months work experience certificate
  • ⦿ Get an average package of up to 10+ LPA by becoming 3X Data Certified.
  • ⦿ Go above and beyond certification by creating a personal portfolio..

Time Span

  • ⦿ 230+ Live Session
  • ⦿ After Every Module mock
  • ⦿ 2 hrs Daily

Process

  • ⦿ Live Session
  • ⦿ After the session recording uploaded on the same day

Structure

  • ⦿ Mock After every modules
  • ⦿ Real-time Projects after every module
  • ⦿ Doubt Sessions & Assignments per week

Extra

  • ⦿ Resume Building
  • ⦿ Linkedin Profile
  • ⦿ Interview Prep
  • ⦿ Naukri Profile

Why Join Data engineering Course Online in Baner, Pune- 99% Success Rate 🚀

Technical Skills

Apex Visualforce Javascript CSS HTML SOUL Apart from this, you ought to understand internet improvement tools like Git, Eclipse, ID, and Sublime

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Analytical Skills

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.

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Communication Skills

Excellent Individualistic Communication in Interviews

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Problem-solving Skills and Logical Skills

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.

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Data Engineering Course Syllabus Baner, Pune

  • Introduction to Database (what is database & sql & create table syntax & insert data into it)
  • SQL Datatypes (Number,Char,varchar2,Date,Interval data type)(default value concept)
  • Data integrity constraints (Not null,Unique,primary,check,foreign)
  • DDL commands(create,alter,Drop,comment,truncate,Rename) & DML(Insert,update,delete) commands & TCL commands(commit,Rollback)
  • SQL Operators (Arithmetic,Relational,logical,In,Between,Like,||,Is Null,Is Not Null) NVL & NVL2 & Coalesce
  • Aggregate Functions(Min,max,sum,count) & window functions (dense_rank(),rank(),row_number()) Group By & Having Clause & Order By Trunc & round function
  • Subqueries (scaler,multi valued,multi column,nested subquery)
  • Introduction to joins (inner,left,right,full outer,cross,self)
  • Joins questions
  • Joins questions
  • string functions(substr,Instr,lower,upper,replace,ltrim,rtrim,distinct)
  • Case statement & CTE & Index &Set operators(Union,union all,minus,intersect) SQL optimization techniques Fact & dimension tables Star schema &snowflake schema
  • SQL Interview questionse

Introduction to Linux

  • Overview of Linux and its History
  • File system structure
  • Introduction to the terminal
  • Basic Commands (date,cal,uname,ls,who,echo,file,last,tree)

Commands

  • Vi editor
  • Cat, tac, rev, touch, mkdir, rmdir, rm, cp, mv, cd, head, tail, more

Commands

  • diff, gzip, gunzip, tar, Soft link, Hard link , wc, pipe, cut, paste, tr, sort, uniq, split

Commands

  • grep, sed, Chmod, umask, chown, find, ping,df,du

Introduction to Python

  • Installating python and setting up the development environment

Data Types in Python Part 1

Data Types in Python Part 2

Data Types in Python Part 3

Operators in Python

  • Input function

Control Statements

  • if statement
  • if .. else statment
  • if ..elif..else statment
  • while loop
  • for loop
  • break statment
  • continue statment
  • pass statment

Functions in Python

  • In built & user defined functions

Modules, Packages and libraries

Special Type of functions

Regular expression date and time modules

Python programs practice

Pandas library in python

Hadoop intro

  • Hadoop vs Spark
  • Spark Architecture

Rdd introduction

  • Transformations
  • Spark internal work flow

Rdd ,map, flatmap, filter, ReduceBykey, groupBykey

  • DAG,Rdd Lineage

Rdd to dataframe

  • Dataframe intro
  • SparkSession vs SparkContext
  • csv data process

Spark Built in functions part 1

Spark Built in functions part 2

Spark date functions & windows functions

Spark json data processing in detail

Spark procces pandas & data cleaning

Spark process avro, parquet, orc in dpeth

  • Avro vs Parquet vs Orc file formats.

Spark Jdbc, oracle, mysql data process

Handling currepted records scenarios in details (Data Cleaning)

Data Migration

  • Spark Submit

Handle incremental data (Merge Upsert Concept in spark)

Spark performance tuning part 1

Spark performance tuning part 2

Spark Scenario based Interview Questions

  • Configure management groups

Introduction to Azure Cloud

  • Introduction to Azure Cloud
  • Understanding Azure services and solutions
  • Creating an Azure Account and subscription

Azure Virtual Machine

Azure Storage

  • Blob Storage
  • ADLS Gen2

Azure Database

Azure Synapse

Azure Databricks & Azure Devops

  • All the deployment Activities from building notebook to publish.
  • Azure Key Vault

Azure Data Factory (ADF) Activities:

  • Copy Activity
  • GetMetadata Activity
  • ForEach Activity
  • Lookup Activity
  • If Condition
  • Delete Activity
  • Debug Until Activity
  • Execute Pipeline Activity
  • Notebook Activity

Azure Scenario Based Interview questions

History and Introduction to Snowflake.

  • Snowflake history
  • Introduction to virtual warehouses, databases, and schemas

Snowflake architecture and account creation.

  • Snowflake architecture
  • Setting up a Snowflake account and environment
  • Steps to create a Snowflake account

Data Loading

  • Loading data into Snowflake from various sources:
  • Explanation of supported file formats (CSV, JSON, Parquet, etc.).
  • Using Snowflake’s COPY INTO command to load data from cloud storage or local files.

Data Modeling

  • Introduction to structured, semi-structured, and unstructured data.
  • Creating tables and schemas in Snowflake:.
  • Syntax for creating databases, schemas, and tables.

Querying Data

  • Writing SQL queries in Snowflake to retrieve and manipulate data:
  • Basic SQL syntax for querying tables, filtering rows, and selecting columns.
  • Performing simple calculations and transformations using SQL functions (joins, window functions).

Data Transformation

  • Introduction to Snowflake’s data transformation capabilities using SQL:
  • Overview of data transformation tasks such as filtering, aggregating, and sorting data.
  • Understanding the role of SQL in ETL (Extract, Transform, Load) processes.

Security and Access Control

  • Managing users, roles, and privileges in Snowflake:
  • Creating and managing users, roles, and permissions.

Monitoring and Optimization

  • Overview of performance optimization techniques for data loading, querying, and data modeling.
  • Zero copy cloning
  • Internal stage/ external stage
  • Overview of Snowpipe
  • Introduction to Snowflake’s documentation and online resources.

Average : ₹10,14,698 Range : ₹9,74,272 – ₹10,55,124 The common earnings for Azure Data Engineer is ₹16,84,698 consistent with yr within the India. The average additional cash reimbursement for an Azure Data Engineer within India is ₹10,14,698, with a range of ₹9,74,272 – ₹10,55,124. Salary estimates are based on 225 salaries submitted anonymously to Glassdoor by Azure Data Engineer employees in Baner, Pune

Azure Data Engineer Salary: Based on Experience Source :

Data Analyst, Data Scientist, Data Engineer: Who's the Real MVP of Data-Driven Decision Making?

What's the difference between a data analyst and a data engineer?

Data scientists and data analysts analyse fact-based units to glean information and insights. Data engineers construct structures for gathering, validating, and getting ready that exceptional data. Data engineers acquire and put together the facts, and record scientists use the statistics to promote better business decisions.

Best courses in Azure Data Engineering In Baner , Pune

Prominent Academy has a nicely structured Azure Data Engineer Training Program in Baner, Pune as well as certification guides to assist you to maximize the productivity of your responsibilities for this things:

  • Developing Modern Data Warehouse solutions using Databricks and Azure Stack
  • We will help you improve Ability to provide solutions that are forward-thinking in the data engineering and analytics space.
  • Triage issues to find gaps in existing pipelines and fix the issues.
  • Work with business to understand the needs of the reporting layer and develop data models to fulfill reporting needs.
  • Hands-on experience in SQL, Python and Spark (PySpark).
  • Azure security principles, identity and access management (IAM), network security, encryption, and compliance standards.
  • Microsoft Azure is mandatory and includes components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure Data Bricks, HD Insights, ML Service etc. learnings inside the Azure Data engineering training in Baner, Pune.

Azure Data Engineer Salary: Based on Employer Source : "Glassdoor"

Data Engineers also depend 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 courses in Baner, Pune. Let’s see what some of the famous organizations provide:

Data Engineering Training in Pune, Baner -

Prominent Academy Azure Data Engineering Training in Baner, Pune 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: It includes complicated programming and system design that may be intellectually stimulating and rewarding. High Demand: With the exponential growth of statistics, expert record 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 record engineers is spherical ₹7.Three 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 get-right-of-entry to stage positions to senior roles, as you gain experience and understanding. As for the gadget, record 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 data 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 for you as a worthwhile career in this moderate-boom industry. This live teacher-led schooling software helps you work on LIVE Sessions in baner, pune

Azure Data Engineering Training course in Baner, Pune

Data engineers work in diverse settings to construct structures that collect, control, and convert raw records into usable statistics for data scientists and business analysts to interpret. Their main goal is to make data accessible so that organizations can use it to evaluate and optimize performance.

The average salary for a Data Engineer in India ranges from ₹4–35+ lakhs per annum, depending on experience and skills.

  • Freshers: ₹4–8 LPA
  • Mid-Level (2–5 years): ₹8–18 LPA
  • Senior-Level (5+ years): ₹18–35+ LPA
  • Lead/Principal Roles: ₹35–60+ LPA

With expertise in Azure Databricks, Azure Data Factory, Synapse, Spark, and Python, you can command higher salaries and grow faster.

Yes, a strong foundation in mathematics and statistics is important for analyzing and interpreting data. Knowledge of database management systems like MySQL and Oracle is also helpful.

Some of the highest-paying IT jobs in India include Azure data engineers, full stack developers, cloud architects, blockchain engineers, data scientists, software engineering managers, cybersecurity engineers, and big data engineers.

Yes, to a large extent. Some current tasks may get automated, but responsibilities of data engineers will shift toward more strategic roles.

  • Azure Databricks (collaborative analytics)
  • Azure Data Factory (ETL & data integration)
  • Synapse (cloud-based data warehousing)
  • Apache Spark & PySpark (distributed data processing)
  • SQL (data querying & manipulation)
  • Python (data processing & automation)

No prior experience is required. Basic programming (preferably Python) and database knowledge is helpful. The course takes you from beginner to advanced.

Yes. You’ll build data pipelines using Azure Databricks, Azure Data Factory, and Synapse, and analyze data with Spark, PySpark, SQL, and Python.

Yes, you will receive a Data Engineering Certification from Prominent Academy, recognized by industry leaders.

Azure Databricks: Collaborative analytics platform for big data & ML using Apache Spark.

Azure Data Factory: Cloud-based ETL service for data integration & orchestration.

Yes, beginner-friendly modules for Python and SQL are included.

  • 24/7 access to materials
  • Mentorship from industry experts
  • Doubt-clearing sessions
  • Career guidance & job placement support

Click “Enroll Now” on the page. You can also request a free demo or talk to a career advisor.

The fee includes all materials, projects, and certification. For exact pricing, download the brochure or contact support.

No refunds after purchase. But free demos and career advisor consultations are available before enrolling. Comprehensive support ensures your success.

Yes. The course starts with basics and moves to advanced topics. Willingness to learn programming and data concepts is needed.

Yes, using Azure Data Factory, Azure Databricks, and Synapse.

If you’re interested in building data infrastructure, working with big data tools, and solving data problems, it’s the right course. Free demos and career guidance available.

Absolutely! They’re industry-relevant and can be showcased on resume, LinkedIn, and portfolio.

The demand is rapidly growing across industries. Skills in Azure Databricks, Azure Data Factory, Spark, and Python are highly sought after.

Azure Data Engineering Training and Certification Course

Learn from the best training institute to develop your Azure data engineering talent set. Prominent Academy is an institute that focuses on more than one category of Azure data engineering training in Baner, Pune of courses we can teach you Cloud infrastructure on Azure using services such as compute, spark, python, azure cloud, snowflake, & more We supply you with the Best training required in your Azure data engineering career elements. Pursuing a data engineering course in Baner, Pune from Prominent Academy will groom you, wherein you will Python with an emphasis on building data pipelines, complex SQL to perform common types of analysis and aggregations, Apache Airflow or Google Composer, Azure Databricks, Azure Data Lake Store, Azure Data Factory, PySpark, and Data Lake raw, enriched, curated layer concepts and ETL within the Azure framework. apply for a free live session & join the best azure devops Courses in Pune to get a high package like 10- 15 lpa & get certified as an azure data engineer.

Learn Azure Data engineering with Our Online Training

If you’re wondering why our Azure Data Training Institute in Baner, Pune offers the best Azure Data Engineering Course with a placement Guarantee, there are several reasons: Researching and choosing a good institute that suits your wishes and professional goals is important.

  • Design and development of data pipelines and ETL using Azure Data Factory and Databricks, including meta data driven approaches and integration of multiple data sources.
  • Proficient in managing data across various stages within a Data Lake (Landing/staging, raw, trusted/curated zones) and designing data storage schemas on Azure Synapse DW.
  • Expertise in big data processing and transformation using Databricks Python, along with batch and streaming processes (Kafka, Spark Streaming, Stream Analytics).
  • Develop, construct, test, and maintain architectures such as databases and large-scale processing systems using Azure Synapse and Azure Data Factory.
  • Leverage pySpark and SQL for data extraction, transformation, and loading processes.
  • SQL queries for data extraction and analysis
  • Organize the backlog in the Jira ticketing tool.

the fees for a Azure Data Engineer Course

Prominent Academy’s Azure Data Engineering course in Baner, Pune with fees offers a cheap access point into this dynamic enterprise. The pricing for Azure Data Engineering Education in Baner, Pune varies based totally on elements such as skill level (beginner, intermediate, advanced), path length, mode of training (online or offline), and the reputation of the organization.

We are dedicated to handing over price-powerful solutions without compromising on the best.

In India, the DP-203 certification exam is an online assessment with a fee of ₹4800 INR subject to variation depending on the country or region where the exam is proctored.

IF YOU AGREE,

  • 1.You don’t understand wherein to start… you need to study cloud Part along with Devops but don’t want to waste a while
  • 2.You explored pre-recorded videos but ultimately didn't get good outcomes or even worse, you lost money.
  • 3.You attempted to getting to know from YouTube and other publications…however they just gave superficial knowledge
  • 4.You aspire to be a highly-paid developer... But how do you become one, you ask?
  • 5.You wish to advance in your role at the company but Azure cloud with data knowledge is a must for all good roles.
WITH BRILLIANT CORNERS

Get a Job After

The process market for Azure Data Engineer specialists in baner, Pune is booming, supplying many opportunities for folks that whole azure data engineering course. Here are a few insights into the career landscape after your training:

  • Designing and implementing Data Security Frameworks on Azure, including RBAC, Azure Active Directory management, and data protection techniques.
  • data access control models, row-level and object-level security, and related concepts.
  • In-depth knowledge of Azure services and components relevant to data security, such as Azure AD, Azure Key Vault, Azure Policy, Managed Policies, and database security policies.
  • problem-solving skills and the ability to translate complex business requirements into effective technical solutions.
  • SQL for querying and manipulating data in relational databases.
  • Hands-on experience with data analytics tools and techniques, including data wrangling, transformation, and visualization.
  • Proficiency in PySpark for data processing and analysis tasks, including data transformation and manipulation.
NOT CONVINCED YET?

REAL PEOPLE, REAL RESULTS
"Prominent" Pune

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.

Shamal

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.

Rupali
Azure Data Engineer

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

Rushikesh
Data Engineer

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Office No: 202, In Spectra, Madhuraj Nagar Rd, Pratik Nagar, Jay Bhavani Nagar, Kothrud, Pune, Maharashtra 411038