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Data Engineer_Enthu AI_Shweta

Roles & Responsibilities

  • Bachelor's degree in data engineering, big data analytics, computer engineering, or related field.
  • Proficiency in Python, C++, Java, R, and SQL; familiarity with Hadoop or an equivalent framework.
  • Proven experience as a data engineer, software developer, or similar; excellent analytical and problem-solving skills.
  • Master's degree in a relevant field is advantageous; capacity to manage a pipeline of duties with minimal supervision and work both independently and in a team.

Requirements:

  • Liaise with coworkers and clients to elicit requirements and translate them into data engineering tasks.
  • Design, build, and optimize infrastructure to enable big data access, storage, and analysis.
  • Reformulate existing frameworks to improve performance and reliability; test structures to ensure fitness for use; detect and correct errors.
  • Prepare raw data for manipulation by data scientists; ensure backups and easy accessibility; stay up-to-date with industry standards and advancements.

Job description

  • Liaising with coworkers and clients to elucidate the requirements for each task.
  • Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed.
  • Reformulating existing frameworks to optimize their functioning.
  • Testing such structures to ensure that they are fit for use.
  • Preparing raw data for manipulation by data scientists.
  • Detecting and correcting errors in your work.
  • Ensuring that your work remains backed up and readily accessible to relevant coworkers.
  • Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs.

Data Engineer Requirements:

  • Bachelor's degree in data engineering, big data analytics, computer engineering, or related field.
  • Master's degree in a relevant field is advantageous.
  • Proven experience as a data engineer, software developer, or similar.
  • Expert proficiency in Python, C++, Java, R, and SQL.
  • Familiarity with Hadoop or suitable equivalent.
  • Excellent analytical and problem-solving skills.
  • A knack for independence and group work.
  • Scrupulous approach to duties.
  • Capacity to successfully manage a pipeline of duties with minimal supervision.

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