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Eaton Hiring Apply Now

Eaton Off Campus 2022 Hiring for Associate Analyst Data Engineer | Apply Now

 

 

Eaton is hiring for the post of Associate Analyst Data Engineer. Engineering Students from Engineering Background can apply for Eaton off-campus recruitment drive 2022. Interested and eligible candidates can read more details below.

 

Recruitment :

Company Name : Eaton

Post Name: Associate Analyst Data Engineer

Degree : BE / B.Tech / ME / M.Tech

Branch : CS / IT

Batch : 2018 / 19 / 20 / 21 / 2022

Experience : freshers (0 – 2 years*)

CTC :  ₹ 18 LPA*

Location: Pune

 

 

 

Job Description:

If you desire to be part of something special, to be part of a winning team, to be part of a fun team – winning is fun.  We are looking forward to  Data Engineer based in Pune, India. In Eaton, making our work exciting, engaging, meaningful; ensuring safety, health, wellness; and being a model of inclusion & diversity are already embedded in who we are – it’s in our values, part of our vision, and our clearly defined aspirational goals.

Requirements:

  • We are looking for a candidate with strong python skills, who has attained a Graduate degree in Computer Science/IT.
  • Displays superior technical coding abilities
  • Strong Python based data manipulation skills is a must
  • Knowledge of Supply Chain Domain is a big plus(however not mandatory)
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • Experience with Data Manipulation in bigdata platform like Cloudera is a plus(however not mandatory)
  • Comfortable with writing complex Python codes for Business Rules on large datasets
  • Experience building and optimizing  data pipelines and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large, disconnected datasets.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Knowledge of Data visualization tools like -Power BI, Tableau etc
  • Knowledge of ETL tools like Informatica, Talend etc(however not mandatory)

 

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