HP Hiring Data Engineer | 0-2 Yrs | BTech/MTech | Bangalore

HP Hiring Data Engineer | 0-2 Yrs | BTech/MTech | Bangalore


HP Hiring Freshers As Data Engineer | 0-2 Yrs | BE/BTech/MTech | Bangalore

HP is hiring freshers for the recruitment of Data Engineer in Bangalore. Candidates from 2018, 2019 & 2020 Batch having BE/Btech/ ME/MTech are eligible for this role. For more details for eligibility criteria, selection process, apply link read below.

Company Name: Hewlett Packard

Job Location: Bangalore

Position: Data Engineer

Salary: Best in the industry

Experience Required: Freshers

Eligibility Criteria:

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or equivalent.
  • Typically 0-2 years’ experience.

Required Skills:

  • Using data engineering tools, languages, frameworks to cleanse, mine, and explore data.
  • Basic understanding of NoSQL & relational based systems along with complex, distributed, and massively parallel systems.
  • Ability to apply analytical and problem-solving skills.
  • Ability to understand complex data structures.
  • Understanding of database technologies and management systems.
  • Understanding of database architecture testing methodology, including the execution of test plans, debugging and testing scripts and tools.
  • Strong written and verbal communication skills; mastery in English and local language.

Job Description:

  • Codes limited enhancements, updates, and programming changes for portions and subsystems of data pipelines, repositories or models for structured/unstructured data.
  • Analyzes design and determines coding, programming, and integration activities required based on objectives and guidance from more senior project team members.
  • Executes established portions of testing plans, protocols, and documentation for assigned portion of application; identifies and debugs issues with code and suggests changes or improvements.
  • Participates as a member of a project team of other data science professionals to develop reliable, cost-effective, and high-quality solutions for the assigned data systems, models, or components.

Apply Link: Click Here To Apply

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