Baker Hughes Data Analytics Hiring Program | Work From Home

Baker Hughes Data Analytics Hiring Program :-

Baker Hughes is hiring candidates for the role of Data Engineer – Data Analytics for the Bangalore, Karnataka, India [Work From Home] locations. The complete details about Baker Hughes Data Analytics Hiring Program are as follows.

Company Name:-Baker Hughes
Required Education:Bachelors Degree
Required Skills:Have Exposure to Scripting (Pig, Python, Perl, etc) experience
Be able to translates analytics problems into data requirements.
Job Id:R136980
Job Category:Digital Technology – Data Analytics
Work Area:Working remotely from home or any other work location

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  • Job Position: Data Engineer - Data Analytics
  • Job Location: Bangalore, Karnataka, India [Work From Home]
  • Salary Package: As per Company Standards
  • Full/Part Time: Full Time
  • Req ID: 136980
  • Education Level: Graduation

Qualifications

To be successful in this role you will:

  • Have a Bachelors Degree with minimum of 2 years of working experience.
  • Have Exposure to Scripting (Pig, Python, Perl, etc) experience
  • Be able to translates analytics problems into data requirements.
  • Be able to understands logical and physical data models, big data storage architecture, data modeling methodologies, metadata management, master data management, data lineage & data profiling.
  • Be able to understand the technology landscape, up to date on current technology trends and new technology, brings new ideas to the team.
  • Be able to demonstrated awareness of how to leverage curiosity and creativity to drive business impact
  • Can ask follow-up questions when presented with new data/projects. Sees the broader implications of an idea.
  • Be able to Presents new ideas and concepts. Makes connections among previously unrelated ideas.
  • Have Deep passion for learning.

Job Description & Responsibilities:

As a Data Engineer, you will be part of a data engineering or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets.

These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in Baker Hughes business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization.

As a Data Engineer, you will be responsible for:

  • Performing a variety of data loads & data transformations.
  • Working knowledge of methods for parsing, formatting, & transforming data into units consistent with analytical needs.
  • Demonstrating proficiency in implementation of logical/physical data models that support MDM best practices.
  • Performing integration of multiple data source-formats into master data load.
  • Being Proficient in the use of at least one ETL tool.
  • Must have good communication skills – both oral and written

Working remotely from home or any other work location

Skills Required

The Data Engineering team helps solve our customers’ toughest challenges; making flights safer, power cheaper, and oil & gas production safer for people and the environment by leveraging data and analytics.

The Data Engineer will work with the team to create state-of-the-art data and analytics driven solutions, working across Baker Hughes to drive business analytics to a new level of predictive analytics while leveraging big data tools and technologies.

Are you passionate to work with the team on commercially-facing development projects, typically involving large, complex data sets?

Are you interested in driving business analytics to a new level of predictive analytics while leveraging big data tools and technologies. Join our Data Engineering Team!

Baker Hughes Data Analytics Hiring Program Application Process:-

Apply In Below Link

Apply Link:- Click Here To Apply (Apply before the link expires)

Note:– Only shortlisted candidates will receive the call letter for further rounds

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