Databricks Certified Data Engineer Associate Certification Preparation Program
Learn Databricks. Build Real Data Engineering Skills. Prepare for Certification.
DLYTICA Academy’s 6-week program helps you prepare for the Databricks Certified Data Engineer Associate exam while building practical, job-ready skills on the Databricks Data + AI Platform. As a Databricks Partner, we combine live instructor-led training, hands-on labs, practice questions, mock exams and an end-to-end capstone project.
Program Highlights
- Live instructor-led training
- Hands-on Databricks labs
- Weekly assignments and quizzes
- Certification-style practice questions
- Two mock examinations
- Assignment review and instructor feedback
- End-to-end capstone project
- Git and CI/CD exposure
- Portfolio development
- Interview and career preparation
Your Learning Journey
Learn → Practice → Build → Test → Prepare for Certification → Career
- Learn: Databricks, Delta Lake, SQL, PySpark and modern data engineering concepts.
- Practice: Instructor-guided labs, assignments and quizzes.
- Build: A practical end-to-end data engineering project.
- Prepare: Mock exams, gap analysis and exam strategy for the Databricks Certified Data Engineer Associate exam.
- Get Career Ready: Resume, LinkedIn, GitHub portfolio and interview support (Career Track).
6-Week Curriculum
Week 1 – Databricks Platform & Architecture
Data + AI Platform, Lakehouse architecture, workspace and notebooks, Databricks SQL, compute, SQL Warehouses, Databricks Runtime, Catalog Explorer, intro to Unity Catalog, SQL and Python fundamentals, basic permissions.
Lab: Set up a Databricks workspace and run basic SQL and Python tasks.
Week 2 – Data Ingestion & Loading
Batch and streaming ingestion, Auto Loader, CSV/JSON/Parquet, Delta Lake tables, managed and external tables, COPY INTO, schema inference and evolution, incremental ingestion, checkpoints.
Lab: Build an ingestion pipeline that loads raw data into Delta Lake.
Week 3 – Data Transformation & Modeling
SQL and PySpark, DataFrames, joins, aggregations, window functions, data cleansing, INSERT/UPDATE/DELETE/MERGE, ETL pipelines, Medallion Architecture (Bronze, Silver, Gold).
Lab: Build a Bronze → Silver → Gold pipeline using SQL and PySpark.
Week 4 – Lakeflow Jobs & Workflow Orchestration
Creating and configuring jobs, tasks and dependencies, scheduling, parameters, compute configuration, monitoring, failure handling, retries, notifications.
Lab: Create a scheduled pipeline with multiple dependent tasks using Lakeflow Jobs.
Week 5 – CI/CD, Troubleshooting, Monitoring & Optimization
Dev/test/prod environments, Git integration, Databricks Repos, Databricks Asset Bundles, Spark UI, query performance, common pipeline failures, partitioning, file management, caching.
Lab: Apply version control, then troubleshoot and optimize a sample pipeline.
Week 6 – Governance, Security & Final Certification Preparation
Unity Catalog (catalogs, schemas, tables, volumes), permissions, access control, authentication and authorization, security best practices. Full syllabus revision, exam strategy, time management, Mock Exam 1 and Mock Exam 2, review of incorrect answers, gap analysis and final readiness assessment.
Every week includes a quiz, certification-style practice questions and a practical assignment.
Real-World Capstone Project
Build an end-to-end Banking Transaction Data Engineering Pipeline on Databricks.
Raw Data → Bronze → Silver → Gold → Analytics
- Data ingestion with Auto Loader
- Cleansing, transformation and business logic
- Bronze, Silver and Gold layers
- Pipeline scheduling with Lakeflow Jobs
- Governance with Unity Catalog
- Data quality checks and pipeline monitoring
- Git / CI/CD practice
- Analytics-ready datasets
The project gives you practical experience to show in interviews and in your professional portfolio.
Databricks Certification Preparation
You will receive certification-focused lessons, weekly practice questions, topic-based assessments, two mock exams, knowledge-gap identification and final exam-readiness review.
The Databricks certification exam is administered separately by Databricks. Exam registration and fees are not included in the Academy training fee unless specifically included in a selected package.
Career Support
Career Track learners receive resume, LinkedIn, GitHub portfolio and technical interview support. Learners may also receive information about applicable DLYTICA hiring, fellowship and career opportunities, based on available openings and eligibility. Program completion or certification does not guarantee employment.
Pre-requisite
- Must have minimum 1+ years of Data Engineering experience and combining ( sofware engineering of 2+ years with 6+ month Data engineering experience).
- Or Must be graduated from our Dlytica Academy from Data Engineering course.
Limited seats available. For fees, enrollment, batch information and packages, contact DLYTICA Academy.
Email: [email protected]
Are you eager to build a rewarding career that combines cutting-edge technology, data-driven thinking, and problem-solving skills? Step into a world of opportunities with our Databricks Certified Data Engineer Associate Course.
Taking a course in Databricks equips you with the essential skills needed to design, build, and manage modern data pipelines in today’s data-driven world. You will learn how to ingest and transform data, build Bronze, Silver, and Gold data layers, and orchestrate production-ready pipelines using industry tools and techniques such as Delta Lake, PySpark, Auto Loader, and Lakeflow Jobs. Whether you’re aiming to advance your career, transition into data engineering, or strengthen your existing skill set, a Databricks certification is a valuable investment that opens doors to opportunities across industries like banking, healthcare, e-commerce, and technology.
Not based in Canada? No problem! This is a fully online course, so you can learn from anywhere in the world—right from the comfort of your home.
