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Table of contents
1.
Introduction
2.
About Deloitte
3.
About Role
4.
Responsibilities of a Data Engineer at Deloitte
5.
Salary
6.
Perks
7.
Skills and Experience Required
7.1.
Eligibility
7.2.
Technical Skills
7.3.
Preferred Professional Skills
8.
Preparation Strategy 
9.
Resources
10.
Career Path
11.
Job Levels at Deloitte
12.
Frequently Asked Questions
12.1.
What does a Data Engineer do?
12.2.
What are the skills required for a Data Engineer at Deloitte?
12.3.
What are the Deloitte employee benefits?
12.4.
How many rounds are there for experienced candidates at Deloitte?
12.5.
How can we apply for the Data Engineer position at Deloitte?
13.
Conclusion
Last Updated: Mar 27, 2024

Data Engineer at Deloitte

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Introduction

Hello Ninjas! We are back with another article, i.e., on the Data Engineer at Deloitte. Data has become a crucial part of this digital world, where all the sectors of organizations have understood the importance of the data-driven business approach, and as a result, the demand for data engineers is increasing.

Data Engineer at Deloitte

Let's see what the role of a Data Engineer at Deloitte is like and discuss the strategies to be one. But before that, let's see about the company Deloitte.

About Deloitte

Deloitte is one of the top tech companies with branches across 150 countries. Everyone is familiar with the company Deloitte delivering services like audit, consulting, financial advisory, risk advisory, help clients, and related services to select clients.

About Deloitte

Deloitte invests in diverse talents and empowers them to achieve more. Deloitte drives progress where they combine action and integrity.

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About Role

A data engineer processes the raw data into a valuable form for business analysts and data scientists.

It is a broad field where they collect, analyze, and transform data by improving the quality and usability of data. They develop new data analytics tools, algorithms, and data validation tools to ensure data security.

About Role

Without data engineers, business analysts, and data analysts work gets difficult because they require user data information. Thus the company's growth depends on data engineers.

Responsibilities of a Data Engineer at Deloitte

Data Engineers convert the data into a usable form to make the data accessible and evaluate and enhance the company's performance.

Responsibilities of a Data Engineer at Deloitte

Some of the responsibilities of a Data Engineer at Deloitte are:

  • Design and develop phases during the implementation of solutions to business problems.
     
  • Work and collaborate with other team members to ensure a seamless transition.
     
  • Analyze and apply appropriate tools and techniques(like a waterfall) and best practices(reviews, testing practices) to ensure successful implementation.
     
  • Communication about business requirements and working with development teams to ensure smooth implementation.
     
  • Provide high data system functionality working with different team members.
     
  • Develop different outputs like solution and vision design, user requirements, and test cases.

Salary

The average salary of a Data Engineer at companies like Deloitte is 11,80,170 per year.

salary of a Data Engineer at Deloitte
Experience Average Annual Salary
1 - 2 years ₹9.5 LPA
2 - 3 years ₹8.9 LPA
3 - 4 years ₹10.3 LPA
4 - 5 years ₹11.2 LPA
5 - 6 years ₹13.8 LPA
6 - 7 years ₹14.5 LPA

**The salaries mentioned above are only estimates. The actual salary may vary.**

Perks

Some of the benefits that are associated with the job is as follows:

  • Medical Insurance
     
  • Work From Home
     
  • Free Transportation
     
  • Team Outings
     
  • Cafeteria
     
  • Child Care

Skills and Experience Required

For the data engineer role, certain fundamental skills need to be mastered for your career.

Skills and Experience Required

These are the skills required for a Data Engineer at Deloitte:

Eligibility

Candidates should have a bachelor's degree in Computer Science, Information Systems, or any other engineering field, or equivalent work experience.

Technical Skills

  • Proficiency in common programming languages like Python, Java, SQL, Scala, and R.
     
  • Familiarity with relational databases and non-relational databases.
     
  • Fundamentals of Big Data like Hadoop, Spark, and Bash Data.
     
  • You should have experience working with large data sets and complex business logic.
     
  • Experience in Python and SQL Queries.
     
  • A bit of experience in analyzing large data sets to determine directions and movements.
     
  • Good grasp of machine learning concepts and tools.
     
  • You should be able to understand and work with different versions of SQL.
     
  • Knowledge of data modeling tools and techniques like Power BI to execute data pipelines.
     
  • You should be able to understand cloud computing and cloud storage.

Preferred Professional Skills

  • Strong communication abilities—oral, written, and interpersonal—for interaction at all organizational levels.
     
  • Decision-Making Skills.
     
  • Ability to do problem-solving.
     
  • Must be a capable team leader.
     
  • Critical thinking skills to find the optimal solution in an unknown situation.

Preparation Strategy 

In the field of Information Technology, everyone has to keep their skills high for growth. Similar is the case in the Data Engineer role. This role provides you with many benefits and opportunities, but to crack this role, an individual must have a set of skills to pass the interviews and be a good Data Engineer. Following are the few things you must know to be a Data Engineer:-

Get a Degree:

Most Data Engineers start by getting a Bachelor's or Master's degree in Computer Science or any other related field.

Course for Data Engineering:

Joining a course in Data engineering will help maintain consistency and proper guidance. Also, good courses from verified sources provide certificates of great value when developing your CV.

Gain Skills:

Knowing the following topics will help you get your dream job role.

  1. Python: Python is a programming language and one of the most widely used languages by Data Engineers and top-tech companies. Hence, it is a crucial skill for Data Engineers.
     
  2. Data Warehouse and Data Mining: These skills are also important for Data Engineers. A data engineer should know how to store a large data set, a Data Warehouse. Similarly, a data engineer must also know how to analyze big databases and extract hidden information from them, which is Data Mining.
     
  3. Database Management Systems: As the name suggests, a data engineer must know how to interact with databases and how data is stored in a database. Hence, it is a crucial skill for Data Engineers.
     
  4. Aptitude: Data Engineers handle a large amount of data and have to extract the hidden information from the data. Hence, they must have good analytical skills, which can be improved from Aptitude. Hence, data engineers must be good in Aptitude.
     
  5. Big Data: You can refer to Big data for Data Science. It will help you in the long term if you want to switch your career to a Data Science role.
     
  6. Kaggle: Kaggle consists of datasets of different topics. Hence, data engineers must know how to use Kaggle.

 

Apply for the Job and Prepare for Interviews:

With all the above skills, start working on your communication skills as well. 

Before the interview, you must have some knowledge about the company like the principles and focus of the company. Now apply for the job of a data engineer at Deloitte.

Resources

 You can use the Coding Ninjas platform for interview preparation: 

 

Don't Stop learning to Refer to these to gain Knowledge of other subjects too:

Career Path

Career Path

Data Engineer is an on-demand job nowadays. Almost every company is hiring a Data Engineer. If you join a Software company as a Data Engineer, you get more opportunities and various paths to choose from for your career. Except for a few companies, most companies hire experienced individuals as Data engineers, such as Software Engineers or Data Analysts. 

The more experience you gain, the more opportunities open up for you in this role, such as a Managerial role, Solution Architect, or Data Architect. With experience in Data engineering, you can also switch to AI/ML jobs and work as a Machine Learning Engineer. 

Hence your future is bright as a Data engineer.

Job Levels at Deloitte

The following levels of data engineering at Deloitte are listed below:

Entry Level

Initially, as a fresher, you will join as a Data Engineer. Dealing with data ELT(extract, transform, and load) as a Data Engineer at Deloitte is not an entry-level job.

 

Mid Level

As you gain experience and skills with the help of different clients and seniors, you move up in the Data Engineer role at Deloitte. 

 

Senior Level

After a lot of experience you will be able to lead a team and guide juniors about the functionality as Senior Data Engineer.

Now let us move on to FAQs.

Frequently Asked Questions

What does a Data Engineer do?

A data engineer processes the raw data into a valuable form for business analysts and data scientists. It is a broad field where they collect, analyze, and transform data by improving the quality and usability of data.

What are the skills required for a Data Engineer at Deloitte?

Data engineers at Deloitte should have Knowledge of programming languages, machine learning tools, data modeling tools, good communication skills, and many more.

What are the Deloitte employee benefits?

Some of the benefits that Deloitte employees enjoy are medical insurance, cafeteria, wellness programs, paid time off and holidays, and many more.

How many rounds are there for experienced candidates at Deloitte?

For experienced individuals, the Deloitte interview process typically consists of four to five rounds. The Versant Test, two technical rounds, senior managerial round, and HR round.

How can we apply for the Data Engineer position at Deloitte?

To apply for the role, you can visit the official careers page of the Deloitte site. You can also check on the official page of Deloitte on Linkedin.

Conclusion

In this article, we covered all about the Data Engineer at Deloitte. We discussed the preparation strategy, skills and responsibilities, application procedure, and needed resources.

Let's continue and check out more articles based on Deloitte.

 

Check out The Interview guide for Product Based Companies and some of the curated problem lists from Top companies like AmazonAdobeGoogleUberMicrosoft, etc., on Coding Ninjas Studio.

Also, check out some of the Preparation Guided Paths on topics such as Data Structures and AlgorithmsCompetitive ProgrammingComputer Networks, DBMSSystem Design, etc., as well as some ProblemsContests, Test SeriesInterview Bundles, and some Interviews Experiences curated by top Industry Experts only on Coding Ninjas Studio.

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