Cisco Recruitment 2022 | For Data Engineer | Apply Now

Cisco Recruitment 2022

Cisco Recruitment 2022 | For Data Engineer | Apply Now


Cisco is hiring for the post of Data Engineer . Students from Engineering Background can apply for Cisco Recruitment 2022. Interested and eligible candidates can read more details below.


Recruitment :

Company Name : Cisco

Post Name: Data Engineer

Degree : B.Tech / B.E / ME /  M.Tech

Branch: CS / IT

Batch : 2022 / 2023

Experience : Fresher

CTC :  Up to 6 LPA(Excepted)*

Location: Gurgaon / Gurugram




Job Description:

Builds / oversees platforms and systems to manage and store data from internal and external sources by leveraging both distributed and local structures.

Establishes processes / structures based on business and technical requirements to channel data from multiple inputs and route appropriately using data structures available.

Develops tools to facilitate data integration, analytics, data cleaning / transformation, and the deployment of ML/AI models.

Creates and establishes design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements.

Participate in a variety of professional development opportunities, network with senior executive leadership team, give back to your local community, and socialize with a community of global technologists.


  •  Currently pursuing a Bachelor of Engineering degree in Computer Science or Information Science
  •  CGPA of 8.0 (out of 10) and above
  •  Excellent written and verbal communication skills. Must be fluent in English.
  •  Savvy problem-solving instincts and abilities
  •  Comfortable in fast-paced and multidimensional environments
  •  Ability to work efficiently as part of a collaborative team
  •  Diligent to detail
  •  Proficient in software development with a focus in data / data systems (Java, C/C++), databases (SQL, Postgres, Mongo) and development technologies (GIT, JIRA)
  •  Possesses knowledge of data pipelining, data integration, data warehouses, and databases


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