Baker Hughes | Jobs | Data Engineer | BigDataKB.com | 31-01-22

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Job Location: Bengaluru

  • 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.

In this Role, You Will:

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

Required Qualifications

  • Bachelors Degree. A minimum 2 years of professional experience.

Desired Characteristics

  • Exposure to Scripting (Pig, Python, Perl, etc) experience
  • Translates analytics problems into data requirements.
  • Understands logical and physical data models, big data storage architecture, data modeling methodologies, metadata management, master data management, data lineage & data profiling.
  • Understands the technology landscape, up to date on current technology trends and new technology, brings new ideas to the team.

Leadership:

  • Demonstrated awareness of how to function in a team setting
  • Distills information down to key points.
  • Expresses the information clearly and concisely. Projects knowledge of relevant data.

Personal Attributes:

  • Demonstrated awareness of how to leverage curiosity and creativity to drive business impact
  • Asks follow-up questions when presented with new data/projects. Sees the broader implications of an idea.
  • Presents new ideas and concepts. Makes connections among previously unrelated ideas.
  • Deep passion for learning.

Apply Here

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