Data Engineer

Data Engineer
 

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!
 

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.
 

Partner with the best
 

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.
• Having Proficiency in the use of at least one ETL tool.
• Having good communication skills - both oral and written
• Identifying downstream implications of data loads/migration (e.g., data quality, regulatory, etc).
• Demonstrating skills in collaborating with different stakeholders, influencing decisions and an ability to take strategic view

Fuel your passion
 

To be successful in this role you will:
 

• Have a Bachelors Degree with minimum of 2 years of working experience.
• Have hands on experience working with database technologies, including ETL tools including Databricks Workflows using Pyspark / Python, and an ability to learn new technologies.
• Have good proficiency in writing and optimizing SQL queries and working with databases.
• 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.

Work in a way that works for you
 

We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns:
 

• Working remotely from home or any other work location

Working with us
 

Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.
 

Working for you
 

Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect:
 

• Contemporary work-life balance policies and wellbeing activities
• Comprehensive private medical care options
• Safety net of life insurance and disability programs
• Tailored financial programs
• Additional elected or voluntary benefits