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Data Engineering Training and Certification

Best Data Engineering Training in Chennai

Immek Softech Academy offers the best Data Engineering training in Chennai, designed to help learners master the core skills required for building and managing scalable data systems. This in-demand domain focuses on data pipeline design, data warehousing, ETL processes, and real-time data processing. The course covers SQL, Python, Hadoop, Spark, Airflow, and cloud-based tools like AWS, Azure, or GCP. Seamless integration with analytics and business intelligence platforms ensures end-to-end data flow and accessibility across the enterprise. Powered by big data technologies and modern architectures, Data Engineering enables organizations to make faster, data-driven decisions with accuracy and efficiency.

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Data Engineering Training in Chennai

Immek Softech Academy provides expert-led Data Engineering training in Chennai, designed to help learners master modern data engineering tools and techniques. This job-oriented Data Engineering certification course covers core concepts including data modeling, ETL processes, data warehousing, big data frameworks, and cloud data platforms. With hands-on training, real-time projects, and end-to-end data pipeline integration, students gain practical knowledge to become certified Data Engineers and accelerate careers in data management, analytics, and cloud engineering.

Pre-requisites for Data Engineering Training in Chennai – Data Engineering Certification Course

  • Educational Background – A basic understanding of Computer Science, Information Technology, or Mathematics is preferred but not mandatory for Data Engineering training eligibility in Chennai
  • Technical Skills – Familiarity with programming (preferably Python or SQL), databases, or data-related tools is helpful for navigating data pipelines and engineering platforms
  • Work Experience (Optional) – IT professionals, software developers, database administrators, or analytics practitioners will gain the most from this Data Engineering certification course
  • Analytical Mindset – Strong problem-solving skills and the ability to interpret data patterns, optimize data flow, and work with large datasets effectively are key for success in the field

Objectives of Data Engineering Training – Data Engineering Certification Course

  • Master Data Engineering Fundamentals – Learn data modeling, ETL development, data warehousing, and big data processing using tools like SQL, Python, Spark, and Hadoop
  • Enhance Real-Time Data Accessibility – Use modern data engineering tools to enable fast, reliable, and scalable data pipelines for real-time analytics
  • Gain Hands-on Experience – Work on live data engineering projects, case studies, and real-world data infrastructure scenarios
  • Automate & Optimize Data Workflows – Streamline data ingestion, transformation, and storage processes with workflow automation tools like Apache Airflow and cloud platforms
  • Prepare for Certification – Build the skills needed to clear industry-recognized Data Engineering certifications and earn global recognition
  • Unlock Career Growth – Become a Data Engineer, Data Platform Specialist, or Big Data Developer with this job-oriented training in Chennai

Data Engineering Syllabus – Data Engineering Training at Immek Softech Academy

1.Introduction to Data Engineering
  • Overview of data engineering and its business value
  • Role of data engineers vs data scientists
  • Modern data ecosystem and architecture
2.Data Modeling & Database Design
  • Relational vs non-relational databases
  • Schema design, normalization, and ER modeling
  • Data integrity and indexing
3.SQL for Data Engineering
  • Advanced SQL queries and joins
  • Window functions and aggregations
  • Performance optimization in SQL
4.Python for Data Engineering
  • Data structures, functions, and libraries
  • Pandas, NumPy for data manipulation
  • Scripting for automation
5.ETL (Extract, Transform, Load) Processes
  • ETL concepts and pipeline design
  • Data cleaning and transformation logic
  • Tools: Talend, Apache Nifi, Python-based ETL
6.Data Warehousing Concepts
  • OLAP vs OLTP systems
  • Star and snowflake schemas
  • Data warehouse architecture
7.Big Data Fundamentals
  • Introduction to Hadoop ecosystem
  • HDFS, MapReduce, and Yarn
  • Limitations of traditional systems
8.Apache Spark
  • RDDs and DataFrames
  • Spark SQL and streaming
  • Optimization and performance tuning
9.Data Pipeline Orchestration
  • Workflow scheduling with Apache Airflow
  • DAG creation and task automation
  • Monitoring and error handling
10.Cloud Data Platforms
  • Overview of AWS, Azure, and GCP
  • Services: Redshift, BigQuery, Azure Synapse
  • Data pipeline deployment on cloud
11.Data Lakes & Lakehouses
  • Difference between data warehouses and data lakes
  • Architecture of modern lakehouses
  • Tools: Delta Lake, Apache Hudi
12.Streaming Data & Real-Time Processing
  • Kafka fundamentals and architecture
  • Apache Flink / Spark Streaming
  • Use cases for real-time analytics
13.APIs and Data Integration
  • Working with REST and SOAP APIs
  • Data ingestion from external systems
  • JSON, XML parsing and transformation
14.Version Control & CI/CD for Data Engineering
  • Git for source control
  • CI/CD pipelines for data projects
  • Testing and deployment best practices
15.Data Quality & Validation
  • Data profiling and cleansing
  • Validation rules and logging
  • Tools: Great Expectations, Deequ
16.Data Governance & Lineage
  • Metadata management
  • Data cataloging and lineage tracking
  • Compliance with data privacy laws (GDPR, HIPAA)
17.Security in Data Engineering
  • Role-based access controls
  • Data encryption and masking
  • Secure data transmission
18.Monitoring & Logging
  • System health monitoring
  • Log aggregation with ELK stack
  • Alerting and anomaly detection
19.Visualization & Reporting
  • Integration with Power BI, Tableau
  • Basic dashboard creation
  • Data pipeline reporting
20.Performance Optimization
  • Query tuning and indexing strategies
  • Cluster management and partitioning
  • Resource utilization analysis
21.Real-Time Projects & Case Studies
  • Designing scalable pipelines
  • Domain-specific use cases (finance, retail, healthcare)
  • Hands-on labs and troubleshooting
22.Data Engineering on AWS/GCP
  • Hands-on with services like AWS Glue, EMR, GCP Dataflow
  • Cloud-native pipeline creation
  • Billing and cost optimization
23.AI & Automation in Data Engineering
  • AutoML for data processing
  • Automated ETL pipeline generation
  • Predictive maintenance pipelines
24.Project Implementation Lifecycle
  • Agile data project management
  • Requirement gathering to deployment
  • Team collaboration and documentation
25.Final Assessment & Certification Preparation
  • Mock interviews and exam readiness
  • Resume preparation for data engineering roles
  • Practice questions for certification exams
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Tools Covered in Data Engineering Training

1.Key Tools Covered in Data Engineering Training
  • Data Structure & Master Data – Learn how to design relational and non-relational databases, schema design, and data integrity.
  • ETL Process & Automation –Manage ETL workflows with tools like Talend, Apache Nifi, and Python-based ETL scripting.
  • SQL for Data Engineering –Master advanced SQL queries, performance optimization, and complex joins for data manipulation.
2.Advanced Data Engineering Tools
  • Apache Spark –Work with RDDs, DataFrames, and Spark SQL for big data processing and optimization
  • ERP HANA Database –Implement tools like Delta Lake and Apache Hudi for handling large datasets in modern data ecosystems.
  • Cloud Data Platforms – Work with cloud services like AWS, GCP, and Azure for scalable data processing and storage.
3. Data Engineering Workflow & Automation
  • Data Pipeline Orchestration – Automate workflow scheduling with Apache Airflow and DAG creation for data pipelines.
  • Data Quality & Validation – Validate and clean data using tools like Great Expectations and Deequ.
4. Data Engineering Integration & Customization
  • API Integration – Ingest data from external systems using REST and SOAP APIs.
  • Security in Data Engineering –Apply encryption, role-based access control, and secure data transmission techniques.

Top Data Engineering Interview Questions – Data Engineering Job Preparation Guide

General Data Engineering
  • What is Data Engineering, and how does it support data-driven decision-making?
  • How does Data Engineering integrate with cloud platforms like AWS, GCP, and Azure?
  • What are the key differences between traditional data processing and big data architectures like Hadoop and Spark?
Database Management & SQL
  • How do you design and manage relational databases for large-scale data engineering tasks?
  • What’s involved in data modeling, including normalization and schema design?
  • How do you optimize SQL queries for handling large datasets efficiently?
ETL & Data Pipelines
  • What are the key components of ETL (Extract, Transform, Load)?
  • How do you ensure data quality during the ETL process?
  • How do you design real-time and batch processing data pipelines?
Big Data & Cloud Technologies
  • How does the Hadoop ecosystem (HDFS, MapReduce, Yarn) process large datasets?
  • How do you use Apache Spark for big data processing and analytics?
  • How do cloud platforms (AWS, Azure, GCP) enable efficient big data processing and management?

Why Immek Softech Academy is the Best Data Engineering Training Institute in Chennai

High success rate and industry-recognized expertise in Data Engineering training for data processing, storage, and cloud computing
Job-Oriented Curriculum Covers the latest tools and technologies in data engineering, including data modeling, ETL processes, and cloud platform integration
Hands-on Experience Real-time exposure through live data engineering projects, data pipeline creation, and cloud-based data solutions
Expert Trainers– Learn from certified Data Engineering professionals with hands-on experience in database management, big data, and cloud solutions.
Career & Certification Support -Get 100% job assistance, resume building, and Data Engineering certification guidance with expert mentorship
High-Demand Career Paths -Become a Data Engineer, Data Architect, or Cloud Data Engineer with skills that meet industry demand
Flexible Learning--Choose from online or classroom Data Engineering training in Chennai to suit your schedule and learning style

Benefits of Data Engineering Training at Immek Softech Academy

  • Industry-Focused Curriculum – Learn Data Engineering through real-world data processing, storage, and cloud integration scenarios tailored for today’s tech industry needs
  • Hands-on Training – Work on live data engineering projects, case studies, and real-time data pipeline creation using industry-standard tools and technologies
  • Expert-Led Sessions – Certified Data Engineering professionals deliver instructor-led sessions with in-depth knowledge of data management, big data tools, and cloud platforms
  • Certification Assistance – Get step-by-step guidance to crack globally recognized Data Engineering certification exams
  • 100% Job Placement Support – Resume writing, interview prep, and job referrals included with our job-oriented Data Engineering course in Chennai
  • Flexible Learning Options – Choose between online or offline Data Engineering training in Chennai for convenience and flexibility
  • High-Demand Career Opportunities – Become a Data Engineer, Data Architect, or Cloud Data Engineer with practical data engineering skills for top-paying roles

Placement Support – Data Engineering Training at Immek Softech Academy

  • 100% Job Assistance – End-to-end support to land roles in data engineering, cloud computing, and big data technologies via our job-oriented Data Engineering training in Chennai
  • Professional Resume Building – Build a strong, data-focused resume highlighting your Data Engineering expertise for careers in data management, data science, and cloud architecture
  • Interview Preparation – Get trained with mock interviews, scenario-based Q&A, and expert feedback tailored for Data Engineering job roles
  • Industry Tie-Ups – Access data engineering job openings and placement referrals through our network of top tech companies and consulting firms
  • Certification Guidance – Prepare for Data Engineering certifications with expert-led training and structured guidance
  • Career Mentorship – Personalized sessions to guide your growth as a Data Engineer, Cloud Data Architect, or Big Data Specialist

Register for this Course

    Course Duration 30 Hrs.

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    Flexible Batches For You

    05-March-2025
    Monday (Monday - Friday)

    Weekdays Regular

    08:00 AM (IST)

    (Class 1Hr - 1:30Hrs) / Per Session

    26-Feb-2025
    Wednesday (Monday - Friday)

    Weekdays Regular

    08:00 AM (IST)

    (Class 1Hr - 1:30Hrs) / Per Session

    01-Mar-2025
    Saturday (Saturday - Sunday)

    Weekend Regular

    11:00 AM (IST)

    (Class 1Hr - 1:30Hrs) / Per Session

    Course Fee:

    ₹40,000

    ₹ 32,000

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    data engineering training Key Benefits

    • 5 Weeks Training

      For Become a Expert
    • Certificate of Training

      From Industry data engineering training
    • Beginner Friendly

      No Prior Knowledge Required
    • Build 3+ Projects

      For Hands-on Practices
    • Lifetime Access

      To Self-placed Learning
    • Placement Assistance

      To Build Your Career

    Top Companies Placement

    Our Data Engineering Training with Placement program boosts recruitment success by equipping companies with skilled data engineers proficient in building scalable, efficient data pipelines and infrastructure. Graduates can expect lucrative career opportunities, as our dedicated placement assistance ensures substantial salary growth.Enroll Now in our Trending Data Engineering Course with 100% Job Assurance and take your career to the next level!!

    Showcase your Course Completion Certificate to Recruiters

    • A leading training institute offering top-notch IT courses.
    • Industry-accepted certifications to boost career prospects.
    • Proof of skills in Data Engineering other technologies.
    • Helps in securing jobs with top companies worldwide.
    • Enhances resume & showcases expertise to recruiters.

    What Makes Our Company Unique?

    1. Who can enroll in this Data Engineering course?

    Anyone with an interest in data, including fresh graduates, working professionals, and career switchers, can enroll. A background in basic math or logical thinking is helpful.
    You’ll gain skills in handling big data, building scalable data pipelines, working with cloud platforms, and preparing data for analysis—skills in high demand across industries.
    Yes, the Data Engineering course is available both online and in-person, providing flexibility for learners.
    Absolutely. The course includes real-time projects, case studies, and practical sessions with tools like SQL, Spark, and cloud services.
    Yes. You’ll be guided for certifications such as Google Cloud Data Engineer, AWS Certified Data Analytics, and others.
    Yes. We offer 100% job assistance including resume building, interview preparation, and placement referrals.
    Entry-level Data Engineers can expect ₹6–10 LPA, while experienced professionals can earn ₹15 LPA and above, depending on skills and domain.
    Career Assistance
    • - Build an Impressive Resume
    • - Get Tips from Trainer to Clear Interviews
    • - Attend Mock-Up Interviews with Experts
    • - Get Interviews & Get Hired