Job Description

Big Data Engineer job description

This Big Data Engineer job description template includes the list of the most important Big Data Engineer’s duties and responsibilities. This Big Data Engineer job description template is customizable and ready to post to job boards. Use this Big Data Engineerjob description template to save time, attract qualified candidates and hire the best employees.

Big Data Engineer job description template

Big Data Engineer description template

This Big Data Engineer job description template will help you save time, attract qualified candidates and hire best employees.

In order to attract Big Data Engineer that best matches your needs, it is very important to write a clear and precise Big Data Engineer job description.

Big Data Engineer job profile

Big data engineers are responsible for developing, maintaining, evaluating and testing big data solutions. In addition, they are generally involved in the design of big data solutions. This is because they are usually skilled and experienced with Hadoop[-]based technologies such as MapReduce, Hive, MongoDB or Cassandra

Big Data Engineer job description: Intro

Big Data Engineer job description should start with an interesting, eye-catching introduction.Here is an idea of what this introduction may look like:

We are looking for a Big Data Engineer to create solutions suitable for the job in a real-time, highly data-driven organization and make technical innovations happen. With a range of projects to develop data processing applications, you will have the opportunity to use cutting-edge technology across all stages of the lifecycle.

Big Data Engineer job description:Job duties and responsibilities

Big Data Engineer job description should contain the following duties and responsibilities:

  • Responsible for Hadoop development
  • Implementation including loading from disparate data sets, preprocessing using Hive and Pig.
  • Scope and deliver various Big Data solutions
  • Ability to design solutions independently based on high-level architecture.
  • Manage the technical communication between the survey vendor and internal systems
  • Maintain the production systems (Kafka, Hadoop, Cassandra, Elasticsearch)
  • Collaborate with other development and research teams
  • Building a cloud based platform that allows easy development of new applications

Big Data Engineer job description: Job requirements and qualifications

Big Data Engineer job description should contain the following requirements and qualifications:

  • X years of experience as a Big Data Engineer or similar role
  • X years experience programming and/or architecting a back end language (Java, J2EE, Core
  • University degree in Computer Science, Engineering or equivalent preferred)
  • Experience with Java oriented technologies (JBoss, Spring, SpringMVC, Hibernate, REST/SOAP)
  • Experience with non-relational & relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.)
  • Experience with Spark, or the Hadoop ecosystem and similar frameworks
  • Familiarity with various tools such as AWS, Mesos or Docker and an instinct for automation
  • Creative and innovative approach to problem-solving

How to use this Big Data Engineer job description template?

Use this Big Data Engineer job description and post it to multiple job boards!

Start a free TalentLyft trial and post your ad on the most popular job boards today.

Looking for more job descriptions beside Big Data Engineer job description?

Check out our job description library!

See TalentLyft in action

Applicant Tracking, Recruitment Marketing, Sourcing and Talent CRM software are powerful alone, but unstoppable when used together!


Related content

Explore more topics

  • Candidate Experience

    Candidate experience is a critical factor in shaping a positive employer brand and attracting top talent. Learn how to deliver a personalized and engaging candidate experience that reflects your company's values, fosters long-term relationships with candidates, and enhances your reputation as an employer of choice. Secure the best candidates with a standout hiring process.

  • Job Advertisement

    Learn how to craft compelling job postings that attract top talent. Discover the best platforms to publish your job ads and effective promotion strategies to reach a larger pool of high-quality candidates. Maximize your job ad's visibility and ensure you get the right candidates for your open roles.

  • Recruitment Software

    Optimize your hiring process with powerful recruitment software. Streamline candidate sourcing, applicant tracking, and interview scheduling while improving efficiency and reducing time-to-hire. Learn how the right recruitment software can help you attract top talent, enhance collaboration, and make data-driven hiring decisions for better results.

  • Talent Sourcing

    Talent Sourcing is all about identifying and engaging with the best-fit talent for your organization. In this section, we explore all the strategies and best practices you can use to discover top talent effectively. Whether you're a seasoned talent sourcer, an HR Manager or just starting to explore the world of proactive recruitment, dive into our blog posts, gain inspiration, and take actionable steps toward building a strategic sourcing approach that ensures you never miss out on top talent.

  • Coronavirus (Covid-19)

    Discover how to navigate and survive the coronavirus (Covid-19) crisis by turning challenges into opportunities. Learn strategies for adapting your workforce, supporting remote work, maintaining employee engagement, and ensuring business continuity. Stay resilient and transform obstacles into growth during this unprecedented time.

  • Recruitment Process

    You are here to improve and optimize your recruitment process and that is exactly what we'll do for you. Sit back and dive into the best strategies, practices and tips to attract and hire candidates in the most streamlined and efficient way.

Simple and affordable recruitment software