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Contract: Data Engineer / USA

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Added:2020-05-22
Location: Texas, USA
Salary:Competitive
Duration:Contract
Apjid3
Responsibilities:
  • Work under the supervision of data science lead, geoscientists and subject matter experts.
  • Collect, aggregate and wrangle large volumes of data from multiple sources using advanced methodologies in data engineering.
  • Develop data ingestion and preparation workflows for data science pipelines for high and low velocity data.
  • Perform descriptive analytics on large heterogeneous data sets and create metrics to measure data quality and readiness for analytics.
  • Collaborate with other team members and the business to improve data models that feed BI tools and data science pipelines.
  • Assist with the build out and maintenance of an AWS development environment
  • Research and identify potential data engineering solutions from external partners
  • Attend relevant industry and technology conferences/seminars and bring back learnings for sharing to the broader Innovation Team and Petroleum Business
  • Help to build and personally model capabilities and behaviours that value and promote innovation
Desired Skills:
  • Bachelors (Master is preferred) degree in STEM major from accredited institution.
  • 5+ years’ experience in data engineering and managing large, complex, disparate data sets.
  • Good understanding of descriptive analytics and data engineering techniques for data science.
  • Demonstrated skills in data collection, cleansing, visualization, data quality assessment, and the use of analytics to build minimum viable data (MVD)
  • Demonstrated expertise in the development of data engineering pipelines for machine learning and artificial intelligence applications using structured, unstructured and semi- structured data sets.
  • Must have experience building data models to integrate diverse and high dimensional data sets.
  • Excellent problem solving and critical thinking skills with a thirst to learn new areas.
  • Experience with real-time data ingestion.
  • Good understanding of analytics and machine learning project lifecycle.
  • Interdisciplinary mind, i.e. demonstrated ability to map experiences across different domains.
  • Demonstrated skills in the use of one or more analytics software tools and languages (e.g. Python, R, Matlab, Java, Scala)
  • Experience in working with and analysing complex geospatial data sets, and knowledgeable in Geospatial analytic tools such as ArcGIS, ArcPRO, ArcPy, etc.
  • Good understanding of distributed computing, virtualization, and cloud technologies.
  • Excellent oral and written communication skills, able to effectively explain technical information to various audiences
  • Experience in Oil & Gas is a plus


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