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Data Engineering Training

Data Engineering Training with Getin Technologies 

Getin Technologies offers a comprehensive Data Engineering Training program designed to equip you with the skills needed to excel in the fast-evolving data industry. Our curriculum covers essential topics such as data modeling, data warehousing, ETL processes, big data technologies, and cloud computing, ensuring you gain in-depth knowledge of data pipelines and architectures. Led by industry experts, this hands-on training provides practical experience through real-world projects, preparing you for the challenges of modern data engineering. Whether you’re starting from scratch or looking to enhance your existing skills, our flexible training approach caters to all levels, helping you advance your career in data engineering.

Trained 20000+ Professionals In Data Engineering Course | 9.8/10 (Rating based on 10000 reviews)    

Dual Credentials

Dual Credentials from Ramaussys Academy & Getin Technologies

3 Months

Unlock new skills and opportunities with our intensive 3-month course.

10000+ Learners

Empowering over 10,000 learners to thrive in the world of knowledge and skills

360° Carrer Support

Resume Building, Interview Preparation and Access to Partner Companies

Key Features of Data Engineering Training

Data Engineering Placement

Our placement support for data engineering ensures top-tier opportunities, guiding students to successfully land roles in leading companies.

Industry Expert Trainers

Learn from seasoned industry experts with hands-on experience, offering in-depth knowledge and practical insights into the latest trends.

Real-world Project

Engage in real-world projects that simulate industry challenges, helping students build a solid portfolio to impress employers.

End-to-End Proficiency

We ensure end-to-end proficiency by equipping you with the skills to manage data engineering tasks from start to finish.

Industry Based Syllabus

Our curriculum is designed by industry professionals, ensuring that it aligns with current market needs and technological advancements.

Flexibility

Enjoy the flexibility of learning at your own pace, with options for online or in-person sessions to fit your schedule.

Start Your Data Engineering Career with Getin Technologies Training

Unlock the power of data with Getin Technologies’ Data Engineering Training program. Our expert-led course covers key concepts like data modeling, data warehousing, ETL processes, and big data technologies, preparing you for success in the data-driven world. From beginners to experienced professionals, our program caters to all skill levels, providing hands-on experience in designing, building, and optimizing data pipelines.

Gain valuable insights through real-world projects, collaborate with peers, and enhance your expertise in a supportive learning environment. Boost your career with the industry’s most relevant skills and open doors to exciting opportunities in data engineering at Getin Technologies.

Unlock exclusive savings on our courses with personalized coupon codes –  Contact us now to elevate your learning experience at a discounted Price! (Only Online Class)

Call Now: +91 89258 31826

Data Engineering Course Syllabus

Introduction to Data Engineering:

  • Overview of data engineering and its role in data-driven organizations
  • Introduction to key concepts and terminology
  • Overview of common tools and technologies used in data engineering

Data Ingestion:

  • Techniques for collecting data from various sources
  • Introduction to streaming and batch processing
  • Hands-on exercises with data ingestion tools (e.g., Apache Kafka, AWS Kinesis)

Design Basics:

  • Overview of different types of data storage solutions (relational databases, NoSQL databases, data lakes, etc.)
  • Hands-on exercises with relational and NoSQL databases (e.g., MySQL, MongoDB)

Python Programming:

  • Getting started with Python programming for Data Processing
  • Data Types
  • Python Packages
  • Loops and Conditional Statements
  • Functions
  • Collections
  • String Handling
  • File handling
  • Exceptional Handling
  • MySQL Integration
  • INSERT, READ, DELETE, UPDATE, COMMIT, ROLLBACK operations
  • MongoDB Integration Pre-processing, Cleaning, and Transforming Data

Big Data Tools:

  • Linux OS
  • Apache Hadoop
  • HDFS
  • Hadoop Cluster on GCP – Dataproc

Apache Kafka:

  • Big Data and Apache Kafka
  • Producers and Consumers
  • Clusters Architectures
  • Kafka Streams
  • Kafka pipeline transformations

Data Transformation:

  • Introduction to ETL (Extract, Transform, Load) processes.
  • Techniques for data transformation and cleaning
  • Hands-on exercises with ETL tools (e.g., Apache Airflow)

Data Engineering with AWS:

  • Introduction to AWS platform, Creation of free account
  • Walk through the platform and services offered by AWS
  • IAM – Identity and Access Management
  • Intro to AWS Data Warehouses, Data Marts, Data Lakes, and ETL/ELT pipelines
  • Configuring the AWS Command Line Interface tool
  • Creating an S3 bucket
  • Working with Databases and various File formats (Data Lakes)
  • Amazon Database Migration Service (DMS) for ingesting data
  • Amazon Kinesis and Amazon MSK for streaming data
  • AWS Lambda for transforming data
  • AWS Glue for orchestrating big data pipelines
  • Consuming data – Amazon Redshift & Amazon Athena for SQL queries

Data Engineering with Azure:

  • Introduction to Microsoft Azure platform, Creation of free account
  • Walk through the platform and services offered by Azure
  • IAM – Identity and Access Management
  • Azure Data Lake – Managing Data
  • Securing and Monitoring Data
  • Introduction to Azure Data Factory (ADF)
  • Building Data Ingestion Pipelines Using Azure Data Factory
  • Azure Data Factory Integration Runtime
  • Configuring Azure SQL Database
  • Processing Data with Azure Databricks
  • Introduction to Azure Synapse Analytics
  • Data Transformations with Azure Synapse Dataflows
  • Monitoring And Maintaining Azure Data Engineering Pipelines

Data Engineering with GCP:

  • introduction to GCP platform, Creation of free account
  • Walk through the platform and services offered by GCP
  • IAM – Identity and Access Management
  • Bigdata Solutions with GCP Components
  • Data Warehouse – BigQuery
  • Processing ETL/ELT pipelines with Data Fusion
  • Connecting BI tool for visualizing Data with Looker Studio
  • Architecting Data Pipelines
  • CI/CD On Google Cloud Platform for Data Engineers

Data Quality and Testing

  • Importance of data quality in data engineering
  • Techniques for assessing and improving data quality
  • Hands-on exercises with data quality tools and frameworks

Scalability and Performance

  • Strategies for scaling data pipelines
  • Techniques for optimizing performance
  • Hands-on exercises with performance tuning

Reliability and Monitoring

  • Introduction to monitoring and logging in data engineering
  • Strategies for ensuring reliability and fault tolerance
  • Hands-on exercises with monitoring tools (e.g., Prometheus, Grafana)

Data Security and Privacy

  • Overview of data security and privacy considerations
  • Techniques for securing data pipelines and storage
  • Hands-on exercises with data encryption and access control

Deployment and Operations

  • Best practices for deploying and managing data engineering systems
  • Introduction to containerization and orchestration tools (e.g., Docker, Kubernetes)
  • Hands-on exercises with containerized data pipelines

Who can join this course

Freshers (2023 - 2025) Passouts

Eligible: BE, ME, BTech, MTech BSC, BCom, BA, BCA, MBA, MSC, MCA, BBA, MCom

Not Eligible: Diploma

Year Gap (2010 - 2022 Passout)

Eligible: BE, ME, BTech, MTech BSC, BCom, BA, BCA, MBA, MSC, MCA, BBA, MCom

Not Eligible: Diploma

Experienced

Share your resume to Our WhatsApp +91 8925831826. Our Placement Team will Validate your Profile and get back to you shortly.

Build Your Career with Comprehensive Data Engineering Training

Elevate your data engineering skills with our specialized training programs. At Getin Technologies, we cover essential tools and platforms to prepare you for success in the industry. Dive into popular technologies with:

  • Azure Data Engineer Course: Learn to design and implement data solutions on Microsoft Azure.
  • AWS Data Engineering Course: Master data pipelines, storage, and analytics using Amazon Web Services.
  • GCP Data Engineer Course: Gain expertise in building data-driven solutions on Google Cloud Platform.
  • Google Cloud Data Engineer Course: Enhance your skills in data processing and optimization on Google Cloud.
  • Python Data Engineer Course: Discover how to leverage Python for efficient data pipelines and analytics.

Our Realtime Projects in Data Engineering Training

ETL Pipeline for E-Commerce Sales Data

Develop an ETL (Extract, Transform, Load) pipeline for an e-commerce platform to process customer transactions, product details, and sales trends. Utilize Python, Apache Airflow for scheduling, and Apache Spark for data transformation. Store data in Amazon S3 or Google BigQuery and create reports for business insights.

IoT Data Processing for Smart Cities

Design a data engineering project that collects and analyzes real-time IoT sensor data from smart cities, such as traffic signals, air quality monitors, and parking sensors. Use MQTT or Kafka for data ingestion, process with Apache Flink or Spark, and store results in a scalable cloud database like Google BigQuery.

Data Lake Architecture for Healthcare Analytics

Create a data lake solution for a healthcare organization to store and analyze patient records, medical imaging, and treatment history. Use AWS S3, Azure Data Lake, or Hadoop for storage, and process data with Apache Spark. Implement security measures to ensure compliance with HIPAA and data privacy regulations.

5+ Programming Tools, Libraries & Technologies Covered

Kovilpatti Branch (+91 8925831826): Data Science Training in Kovilpatti

Tirunelveli Branch (+91 8925831826): Data science with Python Training in Tirunelveli

Virudhunagar Branch (+91 8925831828): Data Science Training in Virudhunagar

Data Engineering Certifications Training

Google Cloud Certified – Professional Data Engineer

Duration: 60 Hrs

1357 Students Enrolled on this course

Cloudera Certified Data Engineer

Duration: 50 Hrs

5493 Students Enrolled on this course

Microsoft Certified: Azure Data Engineer Associate

Duration: 35 Hrs

2339 Students Enrolled on this course

Our Data Engineering Alumni Students Working Companies

Empowering Minds Everywhere: Experience Top-notch Data Engineering Training Getin Technologies.

Our institute is proud to serve students from all areas including Chennai, Bangalore, Hyderabad, Pune, Mumbai, Noida, Maharashtra, Jaipur, Madurai, Tirunelveli, Coimbatore, Tuticorin, Kovilpatti, Virudhunagar, Sivakasi, Palani, Rajapalayam, Srivilliputur, Ramanathapuram, Karur, Salem, Anna Nagar, Tambaram, Velachery, Theni, Namakkal, Kanyakumari. Join us at Getin Technologies  for top-notch  Data Engineering training and unlock your potential in the field of technology.

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