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Baker Hughes

Data Engineering Specialist - Sustainability & ESG Reporting

Posted 13 Days Ago
2 Locations
Entry level
2 Locations
Entry level
The Data Engineering Specialist will maintain data models, monitor data pipelines, implement testing procedures, and identify data impacts in ESG reporting initiatives.
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Data Engineering Specialist-Sustainability & ESG Reporting
 

Would you like to create compelling data visualization?
 

Are you passionate about Data and Analytics technologies?
 

Be part of a successful team
 

We are Baker Hughes' Digital Technology team. We provide and create tech solutions to cater to the needs of internal and external customers. As a global team we collaborative to provide cutting-edge solutions to solve our customer's problems.
 

Partner with the best
 

As a Data Engineering Specialist, you will be part of cross-functional team responsible for data products typically involving large, complex datasets. You will interact with Subject Matter Experts, Architects, Product Managers, Data Scientists, and many others to fulfil your duties. Example application areas you will be involved with include regulatory reporting, emissions/water/waste management, human capital reporting, biodiversity reporting, control and risk management, health & safety reporting.

As a Data Engineering Specialist, you will be responsible for:
 

  • Maintaining Data Lake based data models with automated pipelines for data processing, ingestion and consumption, including governance and data quality capabilities, leveraging multiple platform technologies (e.g.: AWS, Databricks, Azure, etc.)
  • Monitoring critical data pipelines and engaging on proactive support with platform teams, end-users or projects
  • Implementing automated testing or executing manual testing procedures to ensure conformity with functional and non-functional requirements.
  • Identifying impacts of changes in sources of data, code and platforms

Fuel your passion
 

To be successful in this role you will:
 

  • Have a Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math).
  • A minimum 0-3 years of professional experience
  • Have knowledge of Data Engineering concepts (SQL, Data Modelling, ELT)
  • Have knowledge of Data Processing languages and technologies (e.g.: PySpark, databases, distributed systems)
  • Have knowledge of Data Visualization tools and technologies (e.g.: Tableau, PowerBI)
  • Be aware of methods and practices such as Lean/Agile/XP, etc. Prior experience in an agile environment, or introductory training on Lean/Agile is a differentiator. Be aware of and able to apply continuous integration (CI).

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 (up to 1 day a week)
  • Starting early / finishing early
  • Starting late / finishing late
  • Working flexible hours - flexing the times you work in the day

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


Top Skills

AWS
Azure
Databricks
Power BI
Pyspark
SQL
Tableau

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