The Data Engineering field is growing very rapidly in India, and there are many opportunities for qualified candidates. With the right skills and experience, you can become qualified and build a successful career in data engineering.
Data Engineering deals with the responsibility of development, maintenance, and support of data pipelines using modern data infrastructure (cloud, hybrid and on-premise workloads).
Here is a simplified example of a modern data pipeline:
Modern data pipelines are essential for businesses that want to make data-driven decisions. By automating the flow of data and making it accessible to users in a timely and efficient manner, modern data pipelines can help businesses to improve their operations, identify new opportunities, and gain a competitive advantage.
Here are some examples of how modern data pipelines are being used today:
Modern data pipelines are a very powerful tool for any business that wants to get the most out of its data. Therefore the career prospects for Data Engineering is always going to very high. With the advent of highly efficient storage, computing power and cloud infrastructure, this field is always going to be witness efficient ways of managing data and the need for good Data Engineers is always eminent.
Career Prospects
With the right data skills and hands on training to handle and manage all types of data, you can have a successful career in Data Engineering
You can check out various bootcamps and crash courses depending on your skills and experience to get into the Data Engineering Career. Alternatively, Feel free to request for a free career counselling
A data engineer is responsible for the development, maintenance, and support of data pipelines and the modern data infrastructure (cloud, hybrid and on-premise workloads). A modern data pipeline is a system for automating the flow of data from multiple sources to a central repository, where it can be transformed, analysed, and used to drive business decisions. Modern data pipelines are designed to be scalable, reliable, and efficient, and to support a wide range of data types and formats.
Data Engineers work with data to ensure that it is clean, accurate, and accessible to users and other third party systems for consumption, analytics and reporting.
Roles and responsibilities of a Data Engineer :
Skills Required for a Data Engineer:
How to Become a Data Engineer:
Develop a passion for programming , reading , learning skills on data, data wrangling techniques and master the science of slicing, dicing and managing data more efficiently and more cost effectively using atleast one Cloud - AWS, GCP or Azure.
Talk to us or Join our Bootcamp to know more
A data analyst is responsible for collecting, cleaning, and analyzing data to extract meaningful insights. They use their findings to help businesses make better decisions
Roles and Responsibilities:
Skills required for a Data Analyst:
How to become a Data Analyst:
An engineering degree in CS or equivalent is recommended. A good hold on problem solving, exposure to variety of Data Visualisation, Reporting and BI tools is a must.
Be able to communicate your findings effectively to both technical and non-technical audiences. Data analysts often need to work with a variety of stakeholders, so it is important to be able to communicate your findings in a clear and concise way.
Talk to us or Join our Bootcamp to know more
A data architect is responsible for designing and developing data systems and architectures. They work with data engineers to ensure that systems are scalable and reliable.
Roles and Responsibilities of an Data Architect:
Skills Required for a Data Architect :
How to become an Data Architect:
To become an Data Architect, an engineering degree in CS or equivalent is a must requirement. You will also also need experience working with data, security and cloud before advancing into building modern data architectures and pipelines .
Talk to us or Join our Bootcamp to know more
A data quality engineer is responsible for ensuring that data is clean, accurate, and complete. They work with data engineers and data analysts to develop and implement data quality standards and procedures.
Roles and Responsibilities of a Data Quality Engineer:
Skills Required:
How to become a Data Quality Engineer:
To become a data quality engineer, you will need to have a strong understanding of data quality principles and best practices, as well as experience with data quality tools and technologies. You should also have excellent analytical and problem-solving skills, and be able to work independently and as part of a team.
To get an entry level Data Quality Engineer job , work on improving your programming, creative thinking, data wrangling techniques, cloud technology (AWS or Azure or GCP), gain experience building data pipelines and architectures. These will serve as great portfolio pieces when you go for an interview in a company and help you land a job quickly.
Talk to us or Join our Bootcamp to know more
A data security engineer is responsible for protecting data from unauthorized access, use, disclosure, disruption, modification, or destruction. They work with data engineers and other IT professionals to implement and maintain data security measures.
Roles and Responsibilities of a Data Security Engineer :
Skills Required:
How to become a Data Security Engineer
To become a data security engineer, you will need to have a strong understanding of data security principles and best practices, as well as experience with data security tools and technologies. You should also have excellent analytical and problem-solving skills, and be able to work independently and as part of a team. Stay up-to-date on the latest trends and technologies in data security. This is a rapidly evolving field, so it is important to stay informed about the latest developments.
Talk to us or Join our Bootcamp to know more
Feel free to contact us if you have any questions on Data Engineering Careers We will be glad to give you a free career advise.
Data Visualisation Tools, Data Lakes, Data Warehouses, Data Pipelines, AWS, Data Governance, Data Security, Analytics and Reporting (Tableau, Power BI)
1. OTT App Analytics Data Pipeline
2. Gaming App Analytics Data Pipeline
3. E-Commerce recommendation pipeline
4. Fraud detection pipeline
Please reach us at go@thegoacademy.com if you cannot find an answer to your question.
A degree in Computer Science or related field is a good start or if you have any other relevant engineering degree, good programming skills and atleast some amount of competency in one programming language (C++, Python, Javascript etc) helps.Some general understanding of some use cases or the kind of problems that a data engineer solves will be helpful.
However a bootcamp with Go Academy without any such formal educational qualification also sets you up for the Industry.
Go Academy's bootcamp course in Data Engineering trains you in 6 months. This is only for super serious folks wanting to get a break-through in Data Engineering. The bootcamp course itself is very rigorous and fast paced with a whole lot of learn by doing it yourself sessions embedded into the course. You will need to put in 4-5 hours of learning every day for about 6 months to get to a competent level.
Yes, You will get a chance to work on some cutting edge tech at Go Labs. This is part of the Bootcamp. You will intern with Go Labs for about a month and get to build a data pipeline all by yourself.
Yes. You will be evaluated during the entire course of your Bootcamp and your performance in the internship. Go Academy will work with our partners to get you into the Industry
If you are already a skilled software engineer looking at getting into Data Engineering, You will have some overallaping skills already - i.e. some competency in Programming languages, tools, cloud computing platforms, technquies and architectures and may struggle to make sense of it all. Our Bootcamps helps you in developing good experience by providing you the Problem Solving Skills , Learning Skills, Exposure to variety of Patterns and Practises, Exposure to a wide variety of tools and techniques and a whole lot of learn by doing it yourself. The only thing that you need most is a passion for Data Engineering
Feel free to get in touch. Hit the Contact Us button and send us your query. We will love to talk to you and provide you free career counselling and advise
We love our customers, so feel free to visit during normal business hours.
Open today | 09:00 am – 05:00 pm |
Go Academy
Anjali Plaza, 1st Main Road, 6th Cross Road, N S Palya, Bengaluru 560076
Copyright © 2024 Go Academy - All Rights Reserved.
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.