•tFreshers and Undergraduates willing to pursue a career in data engineering
•tAnyone looking for a career transition to data engineering
•tIT professionals
•tExperienced professionals willing to learn data engineering
•tTechnical and non-technical professionals with basic-level programming knowledge can also apply
•tProject Managers

Big Data Engineer
They design and build complex data pipelines and have expert knowledge in coding using Python, etc. These professionals collaborate and work closely with data scientists to run the code using various tools such as the Hadoop ecosystem, etc.
Data Architect
They are typically the database administrators and are responsible for data management. These professionals have in-depth knowledge of databases, and they also help in business operations.
Business Intelligence Engineer
They are skilled in data warehousing and create dimension models for loading data for large-scale enterprise reporting solutions. These professionals are experts in using ELT tools and SQL.
Data Warehouse Engineer
They are responsible for looking after the ETL processes, performance administration, dimensional design, etc. These professionals take care of the full back-end development and dimensional design of the table structure.
Technical Architect
They design and define the overall structure of a system to improve the business of an organization. The job role of these professionals involves breaking large projects into manageable pieces.

With organizations relying heavily on data to drive growth today, data engineering is becoming a more popular skill. Data engineers are tasked with designing a system to unify multiple sources of business data in a meaningful and accessible way. The typical role of data engineers includes:
•tAcquiring big data sets from different data warehouses
•tCleaning those big data sets and finding any errors
•tRemoving any form of duplications that may occur
•tConverting the cleaned data into a readable format
•tInterpreting data to provide reliable information for better decisions

This comprehensive data engineering course is designed to provide an introduction to data, a detailed view of the domain and equip you with the skills and techniques to succeed in it. Our course integrates data warehousing, data lakes, and data engineering pipelines to create a comprehensive and scalable data architecture.

Today, small and large companies depend on data to help answer important business questions. Data engineering plays a crucial role in supporting this process, making it possible for others to inspect the data available reliably making them important assets to organizations, earning lucrative salaries worldwide. Here are some average yearly estimates:
•tIndia: INR 10.5 Lakhs
•tUS: USD 131,713
•tCanada: CAD 98,699
•tUK: GBP 52,142
•tAustralia:AUD 118,000

Designing and building data applications is very well regarded in the industry. While becoming a data engineer would be the most obvious route after completing this course, there are several other career paths you could choose:
•tBig Data Engineer: Work with big data technologies like Hadoop and
Kafka to manage data processing tasks.
•tData Architect: Design and manage an organization's data
architecture, ensuring integrity and security.
•tData Analyst: Effectively analyze and interpret complicated data
sets to make informed decisions.
•tBusiness Intelligence Developer: Create and manage BI solutions
using dashboards and reports.

Yes, data engineers are expected to have basic programming skills in Java, Python, R or any other language.

Yes, you can join this data engineering course even with no technical background. However, it's recommended that you have a basic understanding of object-oriented programming languages and at least two years of relevant work experience.

Organizations around the world are looking for ways to leverage data to enhance services, making data engineers a sought-after asset. That being said, some of the more popular industries for data engineers include:
•tMedicine and healthcare
•tBanking
•tInformation technology
•tEducation
•tRetail
•tEcommerce

submit your refund request within 7 days of purchasing your course, 100 % Money will be refunded ( No Question asked )
•After 7 days -No Refund are Allowed in any Circumstances.

Absolutely! Times Analytics offers plenty of options to help you upskill in Data Science. You can take advanced certification training courses or niche courses to sharpen specific skills. Whether you want to master new tools or stay ahead with the latest trends, there's something for everyone. These courses are designed to elevate your knowledge and keep you competitive in the Data Science field.

Similar programs that we offer under Data Science:

No, missing a live class will not affect your ability to complete the course. With our 'flexi-learn' feature, you can watch the recorded session of any missed class at your convenience. This allows you to stay up-to-date with the course content and meet the necessary requirements to progress and earn your certificate.

Yes, Times Analytics for Business offers learning solutions for the latest AI and other digital skills, including industry certifications. For talent development strategy, we work with Fortune 500 and mid-sized companies with short skill-based certification training and role-based learning paths.
Our team of curriculum consultants works with each client to select and deploy the learning solutions that best meet their teams’ requirements.

Times Analytics’s online Data Engineering courses will validate your skills in the domain and will add value to your resume. The real-life practical applications will help you develop a strong skill set that you can showcase to recruiters. Get the best Data Engineer course certification and excel in your data engineering career.

On the completion of the online data engineering online course, and the completion of the various projects and assignments in this program, you will receive your data engineering certification

The top companies hiring data engineers around the globe are as follows:
•tTata Consultancy Services (TCS)
•tLTI
•tAccenture
•tAmazon
•tInfosys
•tCapgemini

Yes, you can easily join the data engineering courses even if you do not have technical experience or are not from a technical background. However, knowing any object-oriented programming language will be helpful.

The data engineering courses come with a duration of 2 months of live classes and lifelong access to course material. In this tenure, it is suggested that you devote six to seven hours a week to master the data engineering concepts taught in the online classes.