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DATA ENGINEERING

Top Product-Based Companies for Data Engineers 2024

Data engineers are the backbone of any data-driven organization. There are many product-based companies that hire data engineers to make their workflow efficient and work towards the growth of the organization. As organizations require data engineers, there are data engineers (freshers or working professionals) who are looking for top companies that can hire them on the basis of skills, experience, etc.

So, if you’re someone who has a set of skills and is looking for such organizations, you’ve come to the right place. In this article, we’ll explore some of the top 10 product-based companies that hire data engineers. These best companies offer high salaries and you can definitely a continuous growth by working at these companies.

Table of contents


  1. Top Product-Based Companies for Data Engineers 2024
    • Amazon
    • Flipkart
    • Google
    • Microsoft
    • Facebook (Meta)
    • Adobe
    • Uber
    • LinkedIn
    • PayTM
    • Netflix
  2. Conclusion
  3. Related Article:
  4. FAQs
    • Q1. Are product-based companies more attractive for data engineers than service-based companies?
    • Q2. Do I need prior experience to apply to these product-based companies?
    • Q3. What skills are in high demand for data engineers in product-based companies?
    • Q4. How do I stay updated on job openings at these companies?

Top Product-Based Companies for Data Engineers 2024

1. Amazon

Amazon is a well-known and renowned product-based company founded on July 5, 1994 by Jeff Bezos. They have a strong presence in India and all over the world. It is one of the best product-based companies if you’re to get into the data engineering domain.

Working at Amazon will give you access to cutting-edge technologies and vast datasets. You should have a bachelor’s degree, the skill sets required, and projects to showcase in your resume.

  • Company Strength: 15,41,000 (2022)
  • Net Revenue: $513.98 B
  • No of Openings in India(in 2024): 500+
  • Link to Apply for Jobs: Amazon
  • Salary offered to data engineers: 21 LPA

2. Flipkart

Flipkart, whose parent organization is Walmart, was founded by Binny Bansal and Sachin Bansal in the year 2007. It is one of the leading e-commerce companies besides Amazon, Nykaa, etc. It heavily relies on data to optimize its operations.

Data engineers at Flipkart work on diverse projects, from building recommendation engines to enhancing supply chain efficiency. You just need to know about data engineering skills, tools, and technologies in order to get into data engineering.

  • Company Strength: 30,000 (2016)
  • Net Revenue: $7.7 B (2022)
  • No of Openings (in 2024): 14
  • Link to Apply for Jobs: Flipkart
  • Salary offered to data engineers: 18 LPA

Before we move to the next part, you should have a deeper knowledge of data engineering concepts. You can consider enrolling yourself in GUVI’s Data Engineering Career Program, which lets you gain practical experience by developing real-world projects and covers technologies including data cleaning, data visualization, Infrastructure as code, database, shell script, orchestration, cloud services, and many more.

Additionally, if you would like to explore Data Engineering and Big Data through a Self-paced course, try GUVI’s Data Engineering and Big Data self-paced course.

3. Google

Google was founded in 1998 by Menlo Park in the USA, the parent organization being Alphabet. Google is definitely “a dream company” for many of us, so here you get a wonderful opportunity to work as a data engineer, Google hires data engineers after having a thorough look at the individual’s work profile.

Data engineers here get to work on projects that have a global impact, such as improving search algorithms and developing machine learning models. After working on some great projects, you can get a chance to work at Google as a data engineer.

  • Company Strength: 178,234 (Jan 2024)
  • Net Revenue: $279.8 B
  • No of Openings (in 2024): 1,264
  • Link to Apply for Jobs: Google
  • Salary offered to data engineers: 34 LPA

4. Microsoft

Microsoft was founded in 1975 by Albuquerque who actively hires data engineers to work on great projects. These projects are related to Azure, Office 365, and many more. It’s a great place for those interested in cloud and enterprise solutions.

You’ll definitely get to learn many things, move with the trends and technologies, and obviously a great salary package to bag.

  • Company Strength: 2,21,000 (2024)
  • Net Revenue: 7,340 crores USD (2024)
  • No of Openings (in 2024): 171
  • Link to Apply for Jobs: Microsoft
  • Salary offered to data engineers: 28 LPA
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5. Facebook (Meta)

Meta, founded in the year 2004, is a well-known product-based company, which deals with huge amounts of data. Data such as photos, texts, videos, login details, and everything need to be handled or managed properly, and thus, data engineers are hired.

Data engineers at Meta work on exciting challenges related to social networking, advertising, and AI.

  • Company Strength: 86,482 (Dec, 2023)
  • Net Revenue: 11,660.9 crores USD (2024)
  • No of Openings (in 2024): 50+
  • Link to Apply for Jobs: Meta
  • Salary offered to data engineers: 10 LPA

Here’s a quick guide on data engineering roadmap, if you want to start this interesting career.

6. Adobe

Adobe, founded in the year 1982, pioneered the paper-to-digital transformation with the invention of PDF. They hire data engineers to work on data management. They work in various things which include building systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret.

Adobe is renowned for its creative software, but it also invests heavily in data analytics. Data engineers at Adobe play a crucial role in extracting insights from user data to enhance their products.

  • Company Strength: 29,239 (As of December 2, 2022)
  • Net Revenue: $18.886B (August 31, 2023)
  • No of Openings (in 2024): 77
  • Link to Apply for Jobs: Adobe
  • Salary offered to data engineers: 24.8 LPA

7. Uber

Uber founded in the year 2009, which is a platform where drivers help you to reach a location at very affordable fares. They focus on improving the ride-sharing experience through data-driven decision-making. Data engineers here work on real-time data pipelines and machine learning models.

  • Company Strength: 32,800 (2022)
  • Net Revenue: $31.8B (2022)
  • No of Openings (in 2023): 20+
  • Link to Apply for Jobs: Uber
  • Salary offered to data engineers: 24.2 LPA

8. LinkedIn

LinkedIn, founded in the year 2002, whose parent organization is Microsoft. Data engineers at LinkedIn work on projects related to professional networking, AI-driven recommendations, and more.

LinkedIn heavily relies on data management and thus, data engineers get a chance to grab the job opportunity, to learn and grow.

  • Company Strength: 19,000
  • Net Revenue: $10.3B (2021)
  • No of Openings (in 2024): 1021
  • Link to Apply for Jobs: LinkedIn
  • Salary offered to data engineers: 21 LPA

9. PayTM

PayTM was founded in the year 2010 by Vijay Shekhar Sharma to ease online payment. It is one of India’s leading fintech companies which relies on data engineers to process vast amounts of financial data securely. It’s an excellent place for data engineers interested in the intersection of finance and technology.

  • Company Strength: 15,665 
  • Net Revenue: 7,990 crores INR (FY23, US$1.0 billion)
  • No of Openings (in 2024): 72
  • Link to Apply for Jobs: PayTM
  • Salary offered to data engineers: 18 LPA

10. Netflix

Netflix, founded in the year 1997, is a platform where viewers can view top streaming videos on-demand by purchasing a subscription. Data Engineering at Netflix is a role that requires building systems to process data efficiently and modeling the data to power analytics.

  • Company Strength: 12,135
  • Net Revenue:  $32.12 B
  • No of Openings (in 2024): 486
  • Link to Apply for Jobs: Netflix
  • Salary offered to data engineers: 50 LPA

Kickstart your career by enrolling in GUVI’s Data Engineering Career Program where you will master technologies like data cleaning, data visualization, Infrastructure as code, database, shell script, orchestration, and cloud services, and build interesting real-life cloud computing projects.

Alternatively, if you want to explore Data Engineering and Big Data through a Self-paced course, try GUVI’s Data Engineering and Big Data Self-Paced course.

Conclusion

In the dynamic world of data engineering, working for a product-based company is definitely rewarding and contributes towards your continuous growth. These companies not only help you grow but also give you a challenging work environment to prove yourself better and bag huge salaries.

You just need to have the required skills and you’re ready to get into the data engineering field. So, get ready to take your career to the next level and take your data engineering career to new heights.

Related Article:

FAQs

Q1. Are product-based companies more attractive for data engineers than service-based companies?

Ans1. Product-based companies often offer more diverse and challenging projects, making them appealing to data engineers looking to work on cutting-edge technologies and large-scale data systems.

Q2. Do I need prior experience to apply to these product-based companies?

Ans2. While some positions may require experience, many companies also hire entry-level data engineers and provide on-the-job training.

Q3. What skills are in high demand for data engineers in product-based companies?

Ans3. Skills such as data modeling, SQL, Python, ETL (Extract, Transform, Load) processes, and experience with big data technologies like Hadoop and Spark are highly sought after by these companies.

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Q4. How do I stay updated on job openings at these companies?

Ans4. You can regularly check job portals, company websites, and professional networking platforms like LinkedIn to stay informed about job openings and networking opportunities.

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  1. Top Product-Based Companies for Data Engineers 2024
    • Amazon
    • Flipkart
    • Google
    • Microsoft
    • Facebook (Meta)
    • Adobe
    • Uber
    • LinkedIn
    • PayTM
    • Netflix
  2. Conclusion
  3. Related Article:
  4. FAQs
    • Q1. Are product-based companies more attractive for data engineers than service-based companies?
    • Q2. Do I need prior experience to apply to these product-based companies?
    • Q3. What skills are in high demand for data engineers in product-based companies?
    • Q4. How do I stay updated on job openings at these companies?