Company: Schlumberger
Skills: IT - Analysis & Management
Experience: 3 + Years
Education: Bachelors/3-5 yr Degree
Location: Sugar Land, Texas, United States


The Data Engineer is responsible for developing and managing the data's ETL processing, with a focus on quality and risk, to assist in the achievement of analytics objectives. The Data Engineer will work collaboratively with functional, technical and program staff to communicate findings and inform decision making through dashboards, data visualizations, interactive charts, graphs and other tools to target audiences in a clear way.

Roles and Responsibilities:
  • Build robust, fault-tolerant data pipelines that clean, transform and aggregate unorganized and messy data into databases or data sources.
  • Compile and install database systems, write complex queries and scale to multiple machines.
  • Process large multivariate data sets collected from equipment operations, manufacturing tests and diagnostic routines.
  • Lay the groundwork for Digital Operations colleagues to easily retrieve the needed data for their evaluations and experiments.
  • Provide input to the business strategy to help guide the overall direction of data management and data quality within the organization.
  • Collaborate with different departments, technical SMEs, and testers to solve problems and convey key messages using data visualization approaches, techniques, and methods.
  • Identify programmatic challenges and leading indicators to present the problems as well as solutions visually.
  • Connecting to data sources, importing data and transforming data for Business Intelligence.
  • Provide technical solutions using Process Automation Tools, Artificial Intelligence and Machine Learning.
  • Communicate ideas, plans and results effectively via oral reports and written documentation.
  • Generate innovative ideas, establish new research directions, and shape and execute on technical projects.
  • Maintain state-of-the-art knowledge and contribute to technical discussions and reviews as an expert in related areas of responsibility.
  • Participate in the areas of data science, industrial analytics, data-driven prognostics, data mining and machine learning.
  • Apply experience with machine learning algorithms and population-based meta-heuristic optimization methods

Qualifications and Experience:
  • Bachelors in Computer Science and 3-5 years of experience.
  • Candidate should be used to digitalization of business processes, business analysis skills.
  • Candidates must be able to legally work and reside in the US, without sponsorship.

Schlumberger is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or other characteristics protected by law.

Schlumberger is a VEVRAA Federal Contractor- priority referral Protected Veterans requested.