Up Skills Yourself, SpireTec Offers Flat 25% Discount On All Courses

logo
set your data here
  • Home
    • /
  • Data Engineer

The Data Engineer certification focuses on designing and managing data infrastructure, including data pipelines, storage solutions, and data processing frameworks. It equips professionals with skills to handle large-scale data systems, optimize data workflows, and ensure efficient data management. Ideal for those looking to advance their expertise in data engineering and analytics.

Instructor

Curriculum

Ratings

( 4.2 Ratings )

Live Online Classes starting on 01 January, 1970

Data Engineer

Professional Data Engineer Certification Overview

This four-day instructor-led course offers a comprehensive hands-on introduction to designing and building data processing systems on the Google Cloud Platform (GCP). Participants will engage in a combination of presentations, demos, and labs to learn how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning solutions. The course covers handling structured, unstructured, and streaming data effectively.

 

Audience: This course is ideal for experienced developers responsible for managing big data transformations, including:

  • Extracting, loading, transforming, cleaning, and validating data

  • Designing data processing pipelines and architectures

  • Creating and maintaining machine learning and statistical models

  • Querying datasets, visualizing results, and generating reports

 

Prerequisites: To maximize learning, participants should have:

  • Completed the Google Cloud Fundamentals: Core Infrastructure (GCPFCI) course or have equivalent experience

  • Basic proficiency in SQL or a similar query language

  • Experience in data modeling and ETL (Extract, Transform, Load) activities

  • Experience developing applications using a common programming language such as Python

  • Familiarity with basic statistics and machine learning concepts

 

Learning Outcomes: By the end of this course, participants will be able to:

  • Design and build data processing systems on Google Cloud Platform

  • Leverage unstructured data using Spark and ML APIs on Cloud Dataproc

  • Process batch and streaming data with autoscaling pipelines on Cloud Dataflow

  • Derive insights from large datasets using Google BigQuery

  • Train, evaluate, and deploy machine learning models with TensorFlow and Cloud ML

  • Generate instant insights from streaming data

(4.2 Ratings)

Download Course Contents

Still unsure?
We're just a click away

SpireTec Unique Features

1-On-1 Training

Benefit from our 1-On-1 Training for personalized, focused, and effective learning experiences.

Customized Training

Experience our Customized Training service tailored to meet your specific learning needs and goals

4 - Hours / Weekend Session

Join our Class featuring 4 - Hours / Weekend Session for in-depth learning and expert training.

Free Demo Class

Join our Free Demo Class to experience top-notch training and expert guidance first hand!

Purchase This Course

Request More Information

CERTIFICATE

Get Ahead With SpireTec Solutions
Training Certificate

Earn your Certificate

Our course is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.

Differentiate yourself with Masters Certificate

Our course is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.

Share your achievement

Our course is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.

Need Customized Curriculum?

Our course is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.

Talk To Adviser
Download Course Contents
Live Chat
contact us

CONTACT US

Call us for any query
contact-us
Call +91 - 85273 17055

Available 24x7 for your queries