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Big Data Engineer Job Description Template
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Big Data Engineer Job Description Template

Job Description Template

Big Data Engineer Description Template

November 29, 2021

Big Data Engineer Job Description Template

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What is a Big Data Engineer?

Big data engineers solve complex challenges strategically.

They design and maintain data infrastructure and tools, which include gathering, storing, processing, and analyzing various data and data systems.

Big data engineers know how to work fast and correctly while analyzing large data sets with the best technologies available, and they know how to generate results.

Related Job Titles for Big Data Engineer

The Top Big Data Engineer Skills

Skill Why it's important
Machine Learning

Machine learning (ML) is an important tool for big data engineers because it helps them to quickly organize and handle massive volumes of data. In addition, because machine learning algorithms "learn" by analyzing data sets, big data is a component of their development. Engineers should be conversant with the process of creating machine learning algorithms. They must be able to develop them and employ algorithms in the data import process.
Hadoop

Hadoop is a set of open-source tools that can simultaneously handle enormous data volumes across thousands of servers and devices. Depending on the data and mode it operates in, it has variable degrees of the scale. Data engineers should be aware of the various modes and how they are used. They should also be aware of the technologies accessible to them and the situations in which Hadoop may be used.
Java

Because of its efficiency and object-oriented design, Java is one of the most extensively used coding languages. It's also one of the most widely used languages for developing data sorting algorithms and machine learning algorithms. This is why it is such an important talent for big data engineers. This is a language that engineers should be familiar with. They should also be conversant with Java machine learning libraries such as Java ML and know how to develop automated scripts.
Python

Python is a popular programming language because of its flexibility. Python has a large community and a large number of libraries. As a result, engineers should not only be familiar with Python and how to create tools with it but also be active in contributing to and using Python libraries.

Big Data Engineer Job Description Template (Free)

To create and manage our company’s big data solutions, we’re searching for a professional Big Data Engineer. You will be responsible for designing and implementing big data tools and frameworks, implementing ELT procedures, collaborating with development teams, building cloud platforms, and maintaining the production system in this position.

You should have an in-depth understanding of Hadoop technology, great project management abilities, and high-level problem-solving skills to succeed as a big data engineer. A top-notch big data engineer comprehends the company’s requirements and implements scalable data solutions to meet those requirements now and in the future.

Big Data Engineer Duties & Responsibilities:

  • Design and construct data applications for several teams and projects utilizing a variety of technologies and frameworks as needed and desired.
  • Read, extract, convert, stage, and load data into specified tools and frameworks.
  • Make scripts, scrape webpages, use APIs, and write SQL queries.
  • Integrate your work into our production systems by working directly with the technical team.
  • Transform unstructured data into an analysis-ready format.
  • Analyze the data that has been processed.
  • Monitor and change infrastructure to improve data performance.

Big Data Engineer Requirements:

  • 2–7 years of recent data engineering experience.
  • It is necessary to have a bachelor’s degree in computer science or a related field.
  • A proven track record of data management demonstrating faultless execution and meticulous attention to detail.
  • Strong statistical knowledge and expertise.
  • Experience programming, preferably in Python, Spark, Kafka, or Java, as well as a desire to learn new programming languages to accomplish goals and objectives.
  • It’s a plus if you know C, Perl, Javascript, or another programming language.
  • Data cleansing, wrangling, visualization, and reporting skills, as well as an awareness of how to employ the best, most efficient tools and apps to execute these tasks.
  • A readiness to attempt new approaches or solutions to tackle data mining problems, using industry best practices, data breakthroughs, and your own experience to complete the task.
  • Production support and troubleshooting experience.

Accounting Specialist Interview Questrions

Sample Interview Questions for a Big Data Engineer

You can use these sample interview questions for Big Data Engineer once you’ve gathered all of the applications. These questions might ease the rest of your hiring journey.

Personal
  1. Why did you pursue a degree in data engineering?
  2. Why are you interested in working for our company?
  3. Why should we recruit you as a member of our team?
  4. What distinguishes you from others?
Human Resources
  1. Tell us about one of your most difficult obstacles and how you overcome them.
  2. What kind of work atmosphere do you prefer?
  3. Do you feel at ease reporting to supervisors who are younger than you?
  4. Are you someone who considers themselves to be a leader?
Management
  1. How do you feel about changing your working plans?
  2. Do you like multitasking?
  3. How do you manage your time and deadlines?
Technical Skills and Knowledge
  1. Can you explain the many types of design schemas that are used in data modeling?
  2. Do you prefer to work with databases or pipelines?
  3. What has been the most difficult professional difficulty you’ve faced as a data engineer?
  4. How would you plan to design a new product as a data engineer?

What are the Educational Requirements for a Big Data Engineer?

Most big data engineers have a bachelor’s degree and others have a master’s degree, such as an online master’s in business data analytics.

The additional years of education are critical for understanding the wide range of technical abilities required of a big data engineer.

How Much to Pay a Big Data Engineer when Hiring

Big data engineers usually earn between $76,000 to $168,500 per year, and their median annual salary is around $130,674.

The hourly wages go from $39 to $81, and the median hourly pay is $63.

Percentile 10% 25% 50%
(Median)		 75% 90%
Hourly Wage $39 $54 $63 $71 $81
Annual Wage $76,000 $111,500 $130,674 $148,500 $168,500

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Frequently Asked Questions about Big Data Engineer

 

What are the key qualifications for a Big Data Engineer?

A Big Data Engineer should have a degree in computer science or a related field, proficiency in programming languages like Python or Java, and expertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databases.

What role does a Big Data Engineer play in data strategy?

Big Data Engineers design, build, and maintain data pipelines to collect, process, and analyze large volumes of data, ensuring its availability and quality for insights and decision-making.

How do Big Data Engineers address security and compliance?

They implement security measures like encryption and access controls and ensure compliance with regulations such as GDPR and HIPAA through data governance policies and monitoring systems.

What challenges do Big Data Engineers face, and how do they tackle them?

Challenges include managing distributed systems and optimizing performance.

They tackle these by using parallel processing, optimization algorithms, and staying updated with emerging technologies.

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