Professional Certificate Program in Data Engineering
Develop Advanced Data Skills with a Big Data Engineer Course
Enroll in Online Post Graduate Programme in Data engineering, Launch your data engineering career with this program online. Aligned with AWS, Azure, and Snowflake certifications, this program will give you the skills for in-demand jobs and help you master crucial data engineering expertise.
Program Overview
As data and its management become increasingly critical across industries, there is a growing demand for data engineers who possess a strong understanding of programming, data architecture, cloud computing, and big data technologies. This program is designed to equip professionals, especially engineers, with the essential skills required to excel in the field of data engineering and secure prominent job roles in the industry.
By enrolling in this program, you will:
- Master Data Engineering Principles
- Learn Cloud Computing & Platforms
- Work with Big Data Technologies
- Gain Proficiency in SQL & NoSQL
- Hands-on with Data Warehousing & Snowflake
- Data Visualization & Reporting
- Acquire Extensive Hands-on Experience with Tools
Key highlights of the Data Engineering course
- Industry-ready curriculum
- 200+ successful batches
- Dedicated Career Support
- Certificate from Tech-Lync Learning
- 12 years of excellence
- 1:1 mentorship
- 150+ hours of learning content
Skills you will learn
Python | R | Theory | SQL | Power BI | Tableau | Google Sheets | Excel | ChatGPT | Azure | Spark | Git | Alteryx | PyTorch | AWS | KNIME | Databricks | Julia | OpenAI | Docker | Shell | Llama | Snowflake | Java | Airflow | BigQuery | DVC | FastAPI | Kafka | Kubernetes | MLflow | Microsoft Copilot | Redshift | Scala | dbt
Syllabus
On a daily basis, we collaborate with companies to refine our curriculum. Here is the list of courses included in this program:
Industry relevant syllabus
Learn top in-demand tools
Gain experience in Data Engineer tools to boost efficiency, handle large datasets, enable advanced analytics, and ensure effective visualization as an expert Data Engineer
Why enroll in the Program?
- You will develop a robust understanding of data engineering concepts, including data pipelines, data warehousing, and ETL processes, equipping you with the skills to handle large-scale data processing systems and big data technologies.
- You will gain hands-on experience with essential data engineering tools and technologies like Apache Hadoop, Spark, Kafka, SQL, ETL tools, and cloud platforms such as AWS, Google Cloud, and Azure. These are the core skills demanded by employers in the data engineering field.
- You’ll be introduced to the latest trends and best practices in data engineering, including data integration, cloud data storage, real-time data processing, and data governance, helping you stay relevant in a fast-evolving field.
Upon Completing This Program, You Will Be Equipped to Apply for the Following Job Roles:
- Data Engineer
- Data Architect
- ETL Developer
- Big Data Engineer
- Cloud Data Engineer
- Data Operations Engineer
Upon completing this program, you can pursue further education and advance your career in specialized fields:
- Masters in Data Engineering
- Masters in Artificial Intelligence
- Masters in Cloud Computing
- Masters in Big Data Technologies
Course Syllabus Curriculum
On a daily basis we talk to companies expert in these track to fine tune our curriculum. In total, there are 4 Units that are available in this track
Module 1 - Core Data Foundations
Duration: 6 Weeks
Build a strong foundation in Python and SQL to tackle data manipulation, complex algorithms, and database design. From relational databases to NoSQL, this module equips you with essential data engineering skills through hands-on coding and problem-solving.
Topics that will be covered:
Python
- Flowcharts, Data Types, Operations
- Conditional Statements & Loops
- Strings
- In-build Data Structures – List, Tuples, Dictionary, Set, Matrix Algebra, Number Systems
- Basics of Time & Space Complexity
- Python Libraries: Numpy, Pandas, Matplotlib, Seaborn, Plotly etc.
- OOPS
- Functional Programming
- Exception Handling & Modules
SQL
- Introduction to Databases & BigQuery Setup
- Extracting data using SQL
- Functions, Filtering & Subqueries
- Joins
- GROUP BY & Aggregation
- Window Functions
- Date and Time Functions & CTEs
- Indexes & Partitioning
- Normalisation & Transactions
- Introduction to NoSQL: MongoDB
USPs of our Delivery
- All topics taught in live classes with limited batch size help in instant doubt support to accelerate learning.
- Assignment (post-lecture) & their evaluation.
- Hyper-Personalised: Special focus on the individual with a constant touch from student success manager & mentor.
Module 2 - Big Data & Cloud Services
Duration: 7 Weeks
Explore Big Data technologies like Hadoop and Spark to process large datasets. Learn distributed computing, real-time data processing with Apache Kafka, and advanced cloud services like AWS Glue, preparing you for complex data pipelines.
Topics that will be covered:
Hadoop
- HDFS (Hadoop Distributed File System)
- YARN (Yet Another Resource Negotiator)
- MapReduce
Apache Spark
- Spark core concepts: RDDs, DataFrames, and SparkSQL
- Parallel processing and distributed computing with Spark
- Spark for data transformation, aggregation, and analytics
- Powerful data processing with PySpark for scalable analytics.
Distributed Databases
- CAP Theorem, consistency, availability, partition tolerance
- Cassandra, HBase: Columnar data stores for large-scale datasets
Real-World Big Data Pipeline
- Design and implement a basic pipeline using Hadoop or Spark
- Data storage, transformations, and querying
Data Streaming
- Introduction to streaming data
- Apache Kafka: Basics
- Stream processing with Spark Streaming
AWS
- AWS EMR
- OnPrem vs Cloud
- HDFS vs S3
- What is S3
- EC2
- Elastic IP
- AWS Storage, Networking
- S3 and EBS
- AWS Glue
- AWS Redshift
Azure
- Azure Data Factory
- Azure Databricks
- Azure Synaps analytics
- Azure Blob Storage
Google Cloud Platform
- Bigquery
- Pub/sub
Cloud Data Solutions
Linux
- Introduction to Linux
- File system navigation
- Process Management
- Shell Scripting
- System configuration and advanced Linux commands
- Hands-on Learning Experience.
- Solve multiple real-life case study problems in live classes & understand the tradeoffs of each algorithm.
Module 3 - ETL & Data Warehousing
Duration: 8 weeks
Learn to design and manage ETL pipelines and data warehouses using tools like Apache NiFi, AWS Glue, and cloud platforms. Develop scalable, efficient systems with real-world case studies, focusing on key architectures like star and snowflake schemas
Topics that will be covered:
ETL Pipelines:
- ETL concepts: Extract, Transform, Load
- Data ingestion and transformation
- Tools: Apache NiFi, AWS Glue
Data Warehousing:
- Star schema
- Snowflake schema
- Introduction to cloud data warehouses: Redshift, BigQuery
- OLAP vs OLTP
USPs of our Delivery
- Hyper-personalization: Depending on student-specific learning pace, multiple revision classes are organized
- Assignments (post-lecture) & their immediate evaluation help to compare your performance against peers.
- The focus is not just to remember maths formulas but to help learners visualize the intuition behind concepts, enabling them to identify patterns.
- As you work on different business situation & product thinking, you gain a deeper understanding on what insights are important & what insights are not important for a particular scenario
Module 4 - Advanced Data Ops
Duration: 4 weeks
Master advanced data engineering with fault-tolerant system designs, CI/CD pipelines, and containerization using Jenkins, Docker, and Kubernetes. Learn to secure data with encryption and role-based access control.
Topics that will be covered:
Advanced-Data Engineering
- High-availability and fault-tolerant designs
- Scalability strategies
DevOps for Data Engineering
- CI/CD pipelines, Jenkins, Gitlab
- Infrastructure as Code: Terraform
- Containerization: Docker, Kubernetes
Data Security
- Data encryption
- Authentication and RBAC
- Impactful projects like Real-Time Financial Data Processing for Goldman Sachs, Fraud Detection Data Pipeline for PayPal and multiple others
- 1:1 discussion with your mentor regarding project improvements.
Module 5 - DSA & System Design
Duration: 8 weeks
Strengthen your skills in Data Structures, Algorithms, and System Design. Learn to design scalable, fault-tolerant systems and solve real-world data challenges using event-driven architectures and efficient processing pipelines.
Topics that will be covered:
DSA
- Arrays, hashmaps
- Stacks, queues
- Trees (binary trees, heaps)
- Graphs, sorting (QuickSort, MergeSort)
- Time and space complexity
System Design
- Scalable and fault-tolerant systems
- Data warehousing design
- Event-driven architecture
USPs of our Delivery
- Master DSA and system design for data platforms.
- Tackle real-world scalability and system challenges.
- Build high-performing, reliable data systems
Module 6 - Get Placed as Data Engineer at Top Companies
Duration: Until you get Placed
Once you have upskilled yourself to become a great data engineer, it is important that we now focus on getting you interview opportunities from diverse companies.
This process is usually in 3 phases:
1. Build a strong profile
2. Applying the right way
3. Acing the interview
We focus on all the above 3 objects in this phase.
Topics that will be covered:
Building a strong profile
- Resume Creation
- LinkedIn profile optimization
- Profile creation on other platforms
Applying the right way
- Opportunities through Bosscoder Collaboration with 250+ tech companies
- Referral to almost all the top product companies
- Sharing hiring requirement of different companies
Acing the interview
- On Demand Mock interviews
- Online Interview Guidelines
- Salary Negotiation
You getting placed at one of the top product companies & sharing us a personal review of your journey with us.
- Student success manager stay connected with you throughout your placement journey to ensure you achieve best outcome.
- Collaboration with 250+ companies for hiring.
- Collaboration with consultancies who hire for top product companies.
- Referrals from our alumni & mentor community for almost all the companies.
- Resume reviews, profile building increasing your chances Of getting shortlisted.
- On demand mock interviews With mentor before a specific interview.
- 100% support from our team to help you succeeds.
Industry Projects
Project 1
Market Basket Analysis Using Instacart
Conduct Market analysis for online grocery delivery and pick-up service utilizing a data set of a large sample size.
Project 2
YouTube Video Analysis
Measure user interactions to rank the top trending videos on YouTube and determine actionable insights.
Project 3
Data Visualization Using Azure Synapse
Build visualization for the sales data using a dashboard to estimate the demand for all locations. This will be used by a retailer to make a decision on where to open a new branch.
Project 4
Data Ingestion EndtoEnd Pipeline
Upload data to Azure Data Lake Storage and save large data sets to Delta Lake of Azure Databricks so that files can be accessed at any time.
Companies where our students got jobs
Whether you’re looking to start a new career, or change your current one, Skill-Lync helps you get ready to get placed in Top Companies.
Advanced Career Support
1:1 CAREER SESSIONS
Engage one-on-one with industry experts for valuable insights and guidance.
INTERVIEW PREPARATION
Gain insights into Recruiter Expectations.
RESUME & LINKEDIN PROFILE REVIEW
Showcase your Strengths Impressively
E-PORTFOLIO
Create a Professional Portfolio Demonstrating Skills and Expertise
INR 1,20,000
Inclusive of all charges
Achieve Job Readiness with Our Extensive Industry-Aligned Program for Fresh Graduates & Early Career Professionals
Low cost EMIs and full payment discount available
EMIs starting
INR 10,000/month
- Career Services Assurance with access to our extensive network of 500+ recruitment partners for abundant interview opportunities
- Personalized Career Services Mentorship, including Resume Building, LinkedIn Profile Optimization, Mock Interviews, Communication & Aptitude Training, and an Interview Practice Toolkit.
- 5 Years Accessto Tech-Lync’s Learning Management System (LMS)
- Personalized Page to showcase Projects & Certifications
Showcase Your Projects & Certifications on a Personalized Page
Live Individual & Group Sessions to Address Queries, Discuss Progress, and Plan Studies.
- 3-Month Unpaid Internship at Tech-Lync Focused on Industry-Oriented Projects.
- Personalized and hands-on support via email and telephone ensures prompt query resolution and continuous monitoring of learner progress.
- Gain access to a job-oriented, industry-relevant curriculum curated by global industry experts, complemented by interactive live sessions.
Full Fee Upfront Payment
EMI Payment Plans
| PAYMENT TYPE | DURATION | INSTALLMENT |
|---|---|---|
| Zero Cost EMI | 3 Months | ₹40,000 |
| 6 Months | ₹20,000 | |
| EMI Loan Plans | 12 Months | ₹10,000* |
| 18 Months | ₹6,666* |
*Inclusive of Interest
Instructors profiles
Our courses are meticulously crafted by a team of esteemed academicians and seasoned industry professionals.
9 industry experts
Our instructors bring a wealth of industry expertise combined with a genuine passion for teaching and mentoring aspiring professionals like you.
8 - 25 years in the experience range
Instructors with 8 – 25 years extensive industry experience.
Areas of expertise
- Machine Learning
- Deep Learning
- Electric vehicles
- Full Stack development
- SQL
- Tableau
- Biomedical Engineering
- Power BI
- Physics
Got more questions?
Talk to our Team Directly
Please provide your phone number, and one of our experts will contact you shortly.
Tech-Lync is dedicated to providing advanced engineering courses that are directly relevant to industry needs, bridging the gap between academic knowledge and practical skills.