Azure Data Engineer Course in Pune
Unlock the power of your data with Microsoft Azure! This Azure Data Engineer course in Pune equips you with the skills to design, build, and manage enterprise data pipelines using Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and modern ETL practices. It's built for aspiring data engineers, SQL professionals, and IT graduates looking to move into cloud-based data engineering roles. As Microsoft Azure continues to lead global cloud adoption, demand for certified Azure data engineers keeps rising. VCTC's Azure Data Engineer training in Pune is a 4.5-month, job-oriented program covering Azure Data Factory, Databricks, and Synapse Analytics with live projects — graduates go on to land Azure Data Engineer (₹7–20 LPA) and Cloud Data Engineer (₹8–22 LPA) roles. VCTC Pune (Velocity Corporate Training Center) is a leading Azure Training Institute in Pune, offering job-oriented Azure Data Engineer training with 100% placement assistance across our Katraj and Viman Nagar branches.
VCTC Pune (Velocity Corporate Training Center) is a leading Azure Training Institute in Pune, offering job-oriented Azure Data Engineer training with 100% placement assistance across our Katraj and Viman Nagar branches.
Who Can Join This Azure Data Engineer Course in Pune?
What You'll Be Able to Do After This Course
Career Outcomes & Salary After Azure Data Engineer Training in Pune
Salary by Experience Level
Detailed Azure Data Engineer Syllabus
1. Software Installation
2. Introduction SQL ,Database , RDBMS , Warehouse
2. DDL ,DML ,TCL, DQL , DCL commands
3. Basic select command, Create Tables, Insert values , Data types
4. Arithmetic expressions, Column Alias, Concatenation operators, Distinct
keyword , Using literal character string
5. Practice Question’s
6. Limiting rows (WHERE clause)
7. Comparison Operators (=,<,>,!=)
8. BETWEEN ,IN operators
9. Pattern Matching using LIKE operator and Wildcard Characters
10. Logical operators (AND ,OR, NOT)
11. Sorting rows using ORDER BY clause
12. Practice Question’s
13. Single row Functions ( NVL, NVL2, NULLIF, COALESCE , CASE ,
DECODE)
14. Character Functions ( LOWER, UPPER, INITCAP, CONCAT,,
SUBSTR, INSTR, LENGTH, LPAD, RPAD, TRIM, REPLACE)
15. Number Functions (ROUND, TRUNC, MOD, CEIL, FLOOR)
16. Working with DATES (MONTHS_BETWEEN, ADD_MONTHS,
NEXT_DAY, LAST_DAY,SYSDATE)
17. Practice Question’s
18. Data type conversion ( TO_CHAR, TO_NUMBER,TO_DATE)
19. CASE expression IF- ELSE- ELIF
20. GROUP Functions (AVG, COUNT, MAX, MIN, SUM)
21. HAVING clause
22. WINDOW functions (RANK,
DENSE_RANK,ROW_NUMBER,LEAD,LAG)
23. JOINS (INNER,LEFT,RIGHT,OUTER,CARTESIAN)
24. CONSTRAINTS (NOT NULL,UNIQUE,PRIMARY KEY , FOREIGN
KEY, CHECK, DEFAULT)
25. SUBQUERY
26. Set Operators (UNION, UNION ALL, MINUS, INTERSECT)
27. Views and Its types
28. Theory Part
29. Practice and Doubt session
30. 100+ SQL Real time Scenario Based Practice Question’s
1. What is SPARK?
2. SPARK architecture
3. How to READ file, WRITE file (CSV,JSON)
4. SCHEMA?
5. Create DATAFRAME
6. Data frame transformation’s ( SELECT, SHOW,COLLECT,
WITHCOLUMN, WITHCOLUMN_RENAMED,
WHERE,FILTER,DROP,DROP_DUPLICATES,ORDERBY,SORT,GRO
UPBY,UNION,UNIONALL,FILL,FILLNA,PIVOT,PARTITION)
7. WINDOW functions
8. JOINS
9. DATE FUNCTIONS
11. THEORY PART Most Important Concepts
12. CLUSTERS,
SPARK COMPONENTS,
SPARK SESSION,
REPARTITION , COALESCE,
CACHE, PERSIST,
GROUPBYKEY, REDUCE BY KEY,
RDD,
TRANSFORMATIONS (NARROW, WIDE),
AQE,
SALTING,
DAG,
CATALYST OPTIMIZER,
BROADCAST JOIN,
PREDICATE PUSHDOWN,
JOBS , STAGES and TASKS,
MEMORY ALLOCATION
- What is PYTHON?
- FEATURES
- Identifires, Reserved words
- Data types
- Type casting
- Operators
- Input and Output Statements
- Flow control
- String Data types
- List Data types
- Tuple Data types
- Set Data types
- Dictionary Data types
- Return function
- Lambda function
- Python module
- Exceptional handling
- File handling
- Decorators and Generators
- OOPS concepts
AZURE DATABRICKS AND DATA FACTORY
1. Create Azure account
2. What is Azure Databricks, ADF introduction.
3. Revise all concepts of SPARK .(Same topics covered in Azure
Databricks portal) Create Databricks notebook. Notebook Introduction.
4. Notebook workspace
5. Create Cluster
6. Types of cluster
7. DBUTILS in databricks
8. Read , write Parquet , JSON, CSV files
9. Unity catalogue
10. Metastore
11. SCD and its types
12. Optimization techniques.
13. Create Mount Point
14. Azure key vault.
15. Azure storage
16. Azure logic app
17. Azure Data Factory.
18. Create Data factory, Its components.
19.Introduction to all Activities in ADF
(REAL TIME PROJECTS)
1. Databricks workspace introduction.
2. Project Medallion Architecture
3. Data ingestion ( From database, ADLS, APIS) use ADF here
4. Data Processing (Azure Databricks)
5. Bronze, silver and Gold layer creation in ADLS.
6. Access raw data in ADB
7. Create Mount Point in ADB
8. Create Azure key vault.
9. Store secrets in Key Vault.
10.Access secrets in ADB using ADB secret scope.
11.Create widgets in ADB for automation
12.Perform data validation in bronze layer and dump clean data in silver
layer.
13. Apply transformations and joins in silver layer and store in Gold layer.
14.Gold layer is final layer which are consumed by POWER BI and machine
learning Team.
Skills You'll Gain in This Azure Data Engineer Course
Real-Time Azure Data Engineer Projects
Flagship Project Spotlight
Get Certified
- check_circleISO 9001:2015 certified training program
- check_circleVerified digital certificate — shareable on LinkedIn
- check_circleInternship Experience Letter included
- check_circleCertificate reflects real project work, not attendance alone
Why Choose the VCTC Azure Data Engineer Course in Pune
Our Alumni Work at Leading Companies Across India
Upcoming Azure Data Engineer Batches in Pune
How to Enroll
Frequently Asked Questions
Start Your Azure Data Engineer Career Today
Join 65,000+ Velocity alumni placed at top companies — book a free demo for the Azure Data Engineer course in Pune today.