Databricks Data Engineer Certification Training in Gurgaon
Master Databricks Cloud and get prepared for Databricks official certifications with our role based courses tailored to your specific needs
- Enroll for Architecture, Data Engineering, Developer, Analyst, ML/ AI, Operations, and Governance Certifications
- Experience blended learning through interactive offline and online sessions.
- Job Assured Course
- Course Duration - 2 months
- Get Trained from Industry Experts
Train using realtime course materials using online portals & trainer experience to get a personalized teaching experience.
Active interaction in sessions guided by leading professionals from the industry
Gain professionals insights through leading industry experts across domains
Enhance your career with 42+ in-demand skills and 20+ services
Databricks Data Engineer (Associate & Professional) Certification Overview
This Databricks live-learning courses cover deep into designing, developing, deploying, and managing scalable solutions and infrastructure across Databricks platforms, equipping you for success in today’s fast-evolving technology landscape
- Benefit from ongoing access to all self-paced videos and archived session recordings
- Success Aimers supports you in gaining visibility among leading employers
- Get prepared for 5+ Databricks official certifications with our role based courses tailored to your specific needs
- Engage with real-world capstone projects
- Engage in live virtual classes led by industry experts, complemented by hands-on projects
- Job interview rehearsal sessions
Demonstrates comprehensive knowledge of the Data Intelligence Platform, including its workspace, architecture, and core capabilities. Evaluates proficiency in executing ETL tasks using Apache Spark SQL or PySpark, encompassing data extraction, complex data manipulation, and User-Defined Functions
Builds, optimizes, and maintains production-grade data engineering solutions on the Databricks Data Intelligence Platform. Successful candidates demonstrate expertise in core features like Delta Lake, Unity Catalog, Auto Loader, Lakeflow Spark Declarative Pipelines, Databricks Compute (including serverless), Lakeflow Jobs, and Medallion Architecture. This certification evaluates skills in designing secure, reliable, cost-effective ETL pipelines, processing complex data from diverse sources using Python and SQL, and applying best practices in schema management, observability, governance, and performance optimization
What is Databricks Data Engineer ?
Databricks Certified Data Engineers are essential for driving AI innovation in Data development and testing. They manage the full Data lifecycle—building Data apps, building and maintaining Data pipelines for Data applications and ETL workflows, and automating Data development and testing processes. By streamlining ETL workflows and resolving challenges in Data pipeline development on cloud, and maintenance, they help organizations deliver reliable, high-performance applications faster and more efficiently.
The role of Databricks Data Engineer Professionals?
Databricks Certified Data Engineers in Data development and testing oversees the end-to-end Data lifecycle of Data applications, from development to deployment and ETL performance optimization. Key responsibilities include:
Exploring Emerging Technologies: Leveraging Cloud technologies, Cloud networking, and security techniques to enhance efficiency and streamline ETL deployment workflows.
Scalable Data, AI & WebApps Development: Designing and implementing Data applications that address critical business needs.
Seamless ETL Deployment: Coordinating Data deployment with infrastructure management for smooth delivery.
ELT Workflow Optimization: Creating, analyzing, and refining ETL automation scripts and Data workflows to maximize productivity.
For professionals aspiring to excel in this field, the Success Aimers Databricks Certified Data Engineers Course provides hands-on training to master these skills. The program equips you to confidently manage Data deployment lifecycles, ETL automation, and Data deployment processes, positioning you as a high-impact Databricks Certified Data Engineers in Data (ETL) development and testing.”**
Who should take this Databricks Certified Data Engineers course?
The Databricks Certified Data Engineer Course is tailored for professionals aiming to accelerate their careers in Cloud, data, and technology-driven sectors. It is particularly valuable for roles including:
Data Cloud Team Leaders
Data Engineers
Data Engineers and IT Managers
Data Cloud & ETL Engineers
Data Cloud Researchers and ETL(Data) Engineers
This program equips participants with the skills to lead Data & AI initiatives, implement advanced ETL workflows, and drive innovation in Data development and testing.
What are the prerequisites of Databricks Certified Data Engineer Course?
Prerequisites for the Databricks Certified Data Engineer Certification Course”
To ensure a seamless learning experience, candidates are expected to have:
Educational Background: An undergraduate degree or high school diploma in a relevant field.
Technical Foundation: Knowledge of IT, Data /ETL development, or data science fundamentals.
Programming Skills: Basic proficiency in languages such as Python or Scala.
Cloud Familiarity: Experience with cloud platforms like AWS or Microsoft Azure.
Meeting these prerequisites enables learners to effectively grasp advanced Cloud concepts, including PySpark tool, ETL Pipeline workflows, ETL Jobs deployment, and automation throughout the course.
Kind of Job Placement/Offers after Databricks Certification Course?
- Databricks Certified Data Engineer
- Databricks Data Engineer
- Databricks Cloud Solutions Architect
- Databricks/Cloud Automation Engineer
- Databricks Cloud Engineer / Databricks Cloud Architect
- Databricks Cloud Engineer
- Databricks Cloud Deployment Engineer
| Training Options | Weekdays (Mon-Fri) | Weekends (Sat-Sun) | Fast Track |
|---|---|---|---|
| Duration of Course | 2 months | 3 months | 15 days |
| Hours / day | 1-2 hours | 2-3 hours | 5 hours |
| Mode of Training | Offline / Online | Offline / Online | Offline / Online |
Databricks Data Engineer (Associate & Professional) Certification Course Overview
This Databricks Data Engineer Certification training enhances your career after choosing the relevant certification path based on the roles. You can practice with hands-on labs and capstone projects and gain proficiency with Databricks tools. After completion of the course, you can leverage Job assistance services and enhance career prospects.
Data Engineering
Databricks Certified Data Engineer Associate Course
Introduction
- What is Databricks
- Free trial on Azure
- Exploring Workspace
- Creating Cluster
- Notebooks Fundamentals
- New Notebook Features
Introduction to Databricks Lakehouse Platform
- Data Lakehouse Overview
- Introduction to Medallion Architecture
- Databricks Overview
- Creating Azure Databricks Service
Databricks Workspace Components
- Databricks Architecture Overview
- Introduction to Databricks Compute
- Databricks Cluster Configuration
- Create Databricks Cluster
- Troubleshooting Databricks Cluster Quota and VM Issues
- Databricks Notebooks
- Databricks Magic Commands
- Databricks Utilities
- Databricks Git Folders (Repos)
Apache Spark - Overview
- ETL With Apache Spark - Overview
- ETL Project Overview
- Set-up Data Lake Project Environment
- Set-up Unity Catalog Project Environment
Apache Spark – Querying Data
- Extract Customers Data - Simple JSON
- Create Views
- Create Temporary Views
- Extract Orders Data - Complex JSON as Text
- Extract Memberships Data - Cluster Requirement
- Extract Memberships Data - Binary File
- Extract Addresses Data using read_files Function - TSV
- Extract Payments Data - CSV via External Table
- Extract Refunds Data - SQL Table via External Table
- Querying Files via PySpark
Apache Spark – Transforming Data
- Data Profiling in Databricks
- Transform Customers Data
- Transform Payments Data
- Transform Refunds Data
- Transform Memberships Data
- Transform Addresses Data
- Query Orders Data - JSON Strings
- Transform Orders Data - Convert String to JSON
- Transform Orders Data - Explode Arrays
- Create Customer Address - JOINs
- Create Month Order Summary - Aggregations
- Spark User Defined Functions (UDFs)
- Higher Order Functions (Array)
- Higher Order Functions (Map)
Spark Structured Streaming
- Structured Streaming - Introduction
- Structured Streaming - Demo
- Trigger & OutputMode
- Checkpointing
- Auto Loader
Development and Ingestion
- Structured Streaming
- Structured Streaming (Hands On)
- Incremental Data Ingestion
- Auto Loader (Hands On)
- Auto Loader options
- Multi-hop Architecture
- Multi-hop Architecture (Hands On)
Delta Lake
- Introduction to Delta Lake
- Delta Transaction Log
- Delta Lake Version History
- Support for ACID Transactions
- Create Delta Lake Table - Overview
- Delta Lake Table & Column Properties
- Create or Replace & CTAS Statements
- Insert Overwrite & Partitioning
- COPY INTO and MERGE Command
- Compaction - OPTIMIZE and ZORDER
- Remove Unused Files – VACUUM
Delta Lakeflow Declarative Pipeline (DLT) Overview
- Introduction to Delta Live Tables
- DLT Architecture
- Programming with DLT
- DLT Project Overview
- Cluster Configuration & Azure VM Quota
- DLT Project Environment Set-up
- Introduction to Streaming Tables - Ingest Customer Data (SQL)
- Recent Changes to DLT User Interface [Please Watch]
- Introduction to DLT Pipelines - Create Circuit Box DLT Pipeline
- Introduction to DLT Expectations - Validate Customers Data (SQL)
- Introduction to Apply Changes - Customers Type 1 SCD Table (SQL)
- Creating DLT Datasets - Ingest Addresses Data (Python)
- Implementing DLT Expectations - Validate Addresses Data (Python)
- Implementing Slowly Changing Dimensions - Addresses Type 2 SCD Table (Python)
- Process Orders Data - Assignment
- Introduction to Materialized Views - Create Customer Order Summary
- Publish to Multiple Catalogs and Schemas from a Single DLT Pipeline
- Delta Live Tables Legacy Syntax
Databricks Lakeflow Jobs
- Introduction to Databricks Jobs
- Introduction to Tasks
- Create a Databricks Job
- Running & Monitoring Jobs
- Schedule & Event Triggers
- Debug a failed job
- Complex Triggers using CRON
Databricks SQL
- Databricks SQL Overview
- Create SQL Warehouse
- Databricks SQL - Query & Visualization
- Databricks - SQL Alerts
Productionizing Data Pipelines with Lakeflow
- Lakeflow Declarative Pipelines (Hands On)
- Change Data Capture
- Processing CDC Feed with DLT (Hands On)
- Lakeflow Jobs (Hands On)
- Deploying Jobs with Databricks Asset Bundles
Introduction to Unity Catalog
- Introduction to Unity Catalog
- Databricks Unity Catalog / Hive Metastore Object Model
- Create Unity Catalog Metastore
- Cluster Configurations for Unity Catalog
- Configure Access to Cloud Storage - Lecture
- Configure Access to Cloud Storage - Demo
Data Governance
- Introduction to Data Governance
- Data Governance using Unity Catalog
- Data Discovery, Audit & Lineage Demo
- Data Access Control & Security
- Legacy Privilege Model
Data Governance & Quality
- Databricks SQL
- Data Objects Privileges
- Managing Permissions (Hands On)
- Unity Catalog
- Unity Catalog (Hands On)
- Delta Sharing
- Lakehouse Federation
- Cluster Best Practices
Delta Sharing & Lakehouse Federation
- Introduction to Delta Sharing [New July 2025 Syllabus]
- Databricks to Databricks Delta Sharing Demo [New July 2025 Syllabus]
- Databricks Open Delta Sharing Demo [New July 2025 Syllabus]
- Introduction to Lakehouse Federation [New July 2025 Syllabus]
- Lakehouse Federation Demo [New July 2025 Syllabus]
Databricks Connect
- Introduction to Databricks Connect [New July 2025 Syllabus]
- Local Development Environment Set-up [New July 2025 Syllabus]
- Databricks Connect Set-up [New July 2025 Syllabus]
Databricks Asset Bundles
- Introduction to Databricks Asset Bundles [New July 2025 Syllabus]
- Structure of Databricks Asset Bundles [New July 2025 Syllabus]
- Deployment to Databricks Workspaces - Demo [New July 2025 Syllabus]
Databricks Certified Data Engineer Professional Course
Modeling Data Management Solutions
- Bronze Ingestion Patterns
- Multiplex Bronze (Hands On)
- Configuring Auto Loader for Reliable Ingestion
- Streaming from Multiplex Bronze (Hands On)
- Quality Enforcement (Hands On)
- Streaming Deduplication (Hands On)
- Slowly Changing Dimensions
- Type 2 SCD (Hands On)
Data Processing
- Change Data Capture (CDC)
- Processing CDC Feed (Hands On)
- Delta lake CDF
- CDF (Hands On)
- Stream-Stream Joins (Hands On)
- Stream-Static Join
- Stream-Static Join (Hands On)
- Materialized Gold Tables (Hands On)
Improving Performance
- Partitioning Delta Lake Tables
- OPTIONAL: Partitioning (Hands On)
- Optimizing Data File Layout
- Predictive Optimization
- Delta Lake Transaction Log
- OPTIONAL: Transaction Log (Hands On)
- Auto Optimize
- Deletion Vectors
- Databricks Git Folders (Repos)
- Python UDFs
- Pandas UDFs on Groups
Data Orchestration
- Lakeflow Jobs (Hands On)
- Advanced Jobs Configurations (Hands On)
- Troubleshooting Jobs failures (Hands On)
Data Privacy
- Propagating Deletes (Hands On)
ETL Pipelines
- Lakeflow Spark Declarative Pipelines
- Repository Update
- Lakeflow Spark Declarative Pipelines (Hands On)
- Data Quality Expectations
- Query Profile (Hands On)
- Orchestrating LDP Pipelines (Hands On)
Deployment & Testing
- Databricks Asset Bundles
- Databricks Asset Bundles (Hands On)
- Relative Imports (Hands On)
- REST API (Hands On)
- Databricks CLI (Hands On)
Data Governance and Sharing
- Unity Catalog (Hands On)
- Dynamic Views (Hands On)
- Row Filters and Column Masks
- Delta Sharing
- Lakehouse Federation
Testing and Monitoring
- Data Pipeline Testing
- Cluster Monitoring (Hands On)
Hours of content
Live Sessions
Software Tools
After completion of this training program you will be able to launch your carrer in the world of AI being certified as Databricks Data Engineer (Associate & Professional) Certification Course Overview.
With the Databricks Data Engineer (Associate & Professional) Certification Course Overview in-hand you can boost your profile on Linked, Meta, Twitter & other platform to boost your visibility
- Get your certificate upon successful completion of the course.
- Certificates for each course
- Azure BLOB Storage
- Databricks Unity Catalog
- Azure Databricks
- Medallion Architecture
- Azure Functions
- Azure App Services
- Azure Logic Apps
- Azure Document DB
- Azure Fabric
- Azure Kubernetes Service (AKS)
- Azure Container Registry (ACR)
- DeltaLake
- DBFS
- Azure Moniter
35% - 50%
Designed to provide guidance on current interview practices, personality development, soft skills enhancement, and HR-related questions
Receive expert assistance from our placement team to craft your resume and optimize your Job Profile. Learn effective strategies to capture the attention of HR professionals and maximize your chances of getting shortlisted.
Engage in mock interview sessions led by our industry experts to receive continuous, detailed feedback along with a customized improvement plan. Our dedicated support will help refine your skills until your desired job in the industry.
Join interactive sessions with industry professionals to understand the key skills companies seek. Practice solving interview question worksheets designed to improve your readiness and boost your chances of success in interviews
Build meaningful relationships with key decision-makers and open doors to exciting job prospects in Product and Service based partner
Your path to job placement starts immediately after you finish the course with guaranteed interview calls
Why should you choose to pursue a Databricks Data Engineer (Associate & Professional) Certification Course with Success Aimers?
Success Aimers teaching strategy follow a methodology where in we believe in realtime job scenarios that covers industry use-cases & this will help in building the carrer in the field of Databricks & also delivers training with help of leading industry experts that helps students to confidently answers questions confidently & excel projects as well while working in a real-world
What is the time frame to become competent as a Databricks Data Engineer?
To become a successful Databricks certified Data Engineer required 1-2 years of consistent learning with dedicated 3-4 hours on daily basis.
But with Success Aimers with the help of leading industry experts & specialized trainers you able to achieve that degree of mastery in 6 months or one year or so and it’s because our curriculum & labs we had formed with hands-on projects.
Will skipping a session prevent me from completing the course?
Missing a live session doesn’t impact your training because we have the live recorded session that’s students can refer later.
What industries lead in Databricks Data Engineering implementation?
- Manufacturing
- Financial Services
- Healthcare
- E-commerce
- Telecommunications
- BFSI (Banking, Finance & Insurance)
- Travel Industry
Does Success Aimers offer corporate training solutions?
At Success Aimers, we have tied up with 500 + Corporate Partners to support their talent development through online training. Our corporate training programme delivers training based on industry use-cases & focused on ever-evolving tech space.
How is the Success Aimers Databricks Data Engineer (Associate & Professional) Certification Course reviewed by learners?
Our Databricks Data Engineer Course features a well-designed curriculum frameworks focused on delivering training based on industry needs & aligned on ever-changing evolving needs of today’s workforce due to Cloud Computing (Databricks). Also our training curriculum has been reviewed by alumi & praises the thorough content & real along practical use-cases that we covered during the training. Our program helps working professionals to upgrade their skills & help them grow further in their roles…
Can I attend a demo session before I enroll?
Yes, we offer one-to-one discussion before the training and also schedule one demo session to have a gist of trainer teaching style & also the students have questions around training programme placements & job growth after training completion.
What batch size do you consider for the course?
On an average we keep 5-10 students in a batch to have a interactive session & this way trainer can focus on each individual instead of having a large group
Do you offer learning content as part of the program?
Students are provided with training content wherein the trainer share the Code Snippets, PPT Materials along with recordings of all the batches
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