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Big Data Engineer Job Description Template

location-img Hyderabad, India
clock-img Full-time

We are looking to rent a talented big data engineer to develop and manage our company’s Big Data solutions. During this role, you may be required to style and implement Big Data tools and frameworks, implement ELT processes, collaborate with development teams, build cloud platforms, and maintain the assembly system.

To ensure success as an enormous data engineer, you ought to have in-depth knowledge of Hadoop technologies, excellent project management skills, and high-level problem-solving skills. A top-notch Big Data Engineer understands the wants of the corporate and institutes scalable data solutions for its current and future needs.

Big Data Engineer Responsibilities:

  • Meeting with managers to see the company’s Big Data needs.

  • Developing Hadoop systems.

  • using Hive or Pig to perform preprocessing tasks after loading various data sets.

  • completing the system's scope and supplying Big Data solutions.

  • controlling the exchange of information between the internal system and, consequently, the survey vendor.

  • Collaborating with the software research and development teams.

  • Building cloud platforms for the event of company applications.

  • Maintaining production systems.

  • Training staff on data resource management.

Big Data Engineer Requirements:

  • Bachelor’s degree in computer engineering or engineering science.

  • Previous experience as a giant data engineer.

  • In-depth knowledge of Hadoop, Spark, and similar frameworks.

  • Knowledge of scripting languages including Java, C++, Linux, Ruby, PHP, Python, and R.

  • understanding of RDBMS and NoSQL databases, such as Redis and MongoDB.

  • Familiarity with Mesos, AWS, and Docker tools.

  • Excellent project management skills.

  • Good communication skills.

  • The capacity to solve difficult data, software, and networking problems.

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