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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