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Big Data Engineer Job Description

How to Hire a Big Data Engineer

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Big Data Engineer Job Description

Big Data Engineers develop, test, and maintain data solutions. Their job is to gather large amounts of data from multiple sources and ensure that downstream users can access the data quickly and efficiently. Essentially, Big Data Engineers ensure the company’s data pipelines are scalable, secure, and able to serve multiple users.

We are looking to hire a talented Big Data Engineer to develop and manage our company’s Big Data solutions. In this role, you will be required to design and implement Big Data tools and frameworks, implement ELT processes, collaborate with development teams, build cloud platforms, and maintain the production system.

To succeed working as a Big Data Engineer you should have in-depth knowledge of Hadoop technologies, excellent project management skills, and high-level problem-solving skills. Suitable Big Data Engineers understand the needs of the company and institutes scalable data solutions for its current and future needs.

Big Data Engineer Duties and Responsibilities

  • In-depth knowledge of Hadoop, Spark, and similar frameworks.
  • Knowledge of scripting languages including Java, C++, Linux, Ruby, PHP, Python, and R.
  • Knowledge of NoSQL and RDBMS databases including Redis and MongoDB.
  • Familiar with Mesos, AWS, and Docker tools.
  • Excellent project management skills.
  • Good communication skills.
  • Ability to solve complex networking, data, and software issues.
  • Bachelor’s degree in Computer Engineering or Computer Science.
  • Previous experience as a Big Data Engineer.

Big Data Engineer Skills and Requirements

  • Meet with managers to determine the company’s Big Data needs.
  • Develop Hadoop systems.
  • Load disparate data sets and conducting pre-processing services using Hive or Pig.
  • Finalise the scope of the system and delivering Big Data solutions.
  • Manage the communications between the internal system and the survey vender.
  • Collaborate with the software research and development teams.
  • Build cloud platforms for the development of company applications.
  • Maintain production systems.
  • Train staff on data resource management.
  • In-depth knowledge of Hadoop, Spark, and similar frameworks.
  • Knowledge of scripting languages including Java, C++, Linux, Ruby, PHP, Python, and R.
  • Knowledge of NoSQL and RDBMS databases including Redis and MongoDB.
  • Familiar with Mesos, AWS, and Docker tools.
  • Excellent project management skills.
  • Good communication skills.
  • Ability to solve complex networking, data, and software issues.
  • Bachelor’s degree in Computer Engineering or Computer Science.
  • Previous experience as a Big Data Engineer.

Personalising Your Big Data Engineer Job Description Advise

The hiring process and recruiting new employees to fill your key roles requires a degree of personalisation if you are to attract the best employees in a competitive employment market. The right person for a crucial role or more senior roles will likely have other employers targeting them. As your job description will be the first point of contact, you need to nail your pitch and provide the best possible service.

When creating your bespoke description and advert, you should cover and promote these points:

Job title: This should accurately reflect the role and include keywords that top talent might be using to search for jobs.

Job duties: The day to day duties, such as administrative tasks, which vary depending on the company and inform the candidate if they can complete the role.

Technical skills: These are the hard skills required through training, such as proficiency with Microsoft Office.

Soft skills: These include the interpersonal skills and general abilities the right candidates will possess. For example, the competency to prioritise multiple tasks, handle customer queries and customer complaints, work alone, or build a good relationship with coworkers.

The company’s culture: Highlighting your company culture and values ensures employees thrive and find outstanding job satisfaction. Candidates that are not the right fit won’t waste their time completing the application process, meaning you can focus on qualified individuals and hire in a more timely manner.

Career progression: Including the career path will entice candidates looking for career growth. 

Training and development programs: Smaller companies may need employees with previous experience or provide educational assistance over internal training offered by larger organisations with more significant resources. 

Employee benefits: Compensation and benefits often fail to appear in job ads and while you may want to hold your cards close to your chest, failing to include them is a mistake. Consider answering common questions, such as working hours and paid leave. Researching the average salary for the role in these early stages will ensure you don’t waste your interviewer’s and the candidate’s time.

Skill gaps: Your company may need to bring in new skills beyond those required to complete the key role and duties. Thinking on an organisational level can be beneficial when contemplating skills diversity.

Legal requirements: Ensure your job advert and description does not ask for inappropriate or discriminatory personal details, such as age, marital status, or religion.


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