Baker Huges Recruitment Drive 2025 | Baker Higes Hiring Software Engineer

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We are an energy technology company that provides solutions to energy and industrial customers worldwide.
Built on a century of experience and conducting business in over 120 countries, our innovative technologies and services are taking energy forward – making it safer, cleaner and more efficient for people and the planet.

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.

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.

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