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Software Technology
Houston,TX
Description
Data Engineer
The purpose of this job is to provide technical expertise for research, development and modification of data engineering processes and jobs in support of a Big Data infrastructure for PFJ Energy in the commodities and energy space.
Research, develop, document, and modify Data Engineering processes and jobs per data architecture and modeling requirements.
Collaborate with Data Analytics team members such as Data Strategists and Data Scientists.
Collaborate with business stakeholders to understand data needs, including data velocity, veracity, and access patterns.
Provide technical expertise to implement Data and Analytics specifications.
Serve on cross-functional project teams and provide perspective for the Data Analytics team on executing key deliverables.
Troubleshoot complex, escalated issues, including connection, failed jobs, application errors, server alerts and space thresholds within predefined service level agreements (SLAs).
Proactively maintain and tune all code according to internally documented Data Engineering standards and best practices.
Review and ensure appropriate documentation for all new development and modifications of the Data Lake processes and jobs.
Perform code and process reviews and oversee testing for solutions developed, and ensure integrity and security of institutional data.
Educate business stakeholders on the usage and benefits of the data Lake / Lakehouse and related technologies.
Mentor and guide less experienced team members and provide feedback on project work.
Ensure all activities are in compliance with rules, regulations, policies, and procedures.
Complete other duties as assigned.
Bachelors degree in computer science, engineering, information technology, or related field, required.
Minimum eight years of technology operations experience required.
Experience in the commodities and energy space is required.
Strong knowledge of Relational Databases like Oracle, Postgres or SQL Server required.
Experience with Apache Spark or Spark-streaming, Message Queue technologies and Python required.
Turn Job Alerts On
Software Technology
Houston,TX
Description
Data Engineer
The purpose of this job is to provide technical expertise for research, development and modification of data engineering processes and jobs in support of a Big Data infrastructure for PFJ Energy in the commodities and energy space.
Research, develop, document, and modify Data Engineering processes and jobs per data architecture and modeling requirements.
Collaborate with Data Analytics team members such as Data Strategists and Data Scientists.
Collaborate with business stakeholders to understand data needs, including data velocity, veracity, and access patterns.
Provide technical expertise to implement Data and Analytics specifications.
Serve on cross-functional project teams and provide perspective for the Data Analytics team on executing key deliverables.
Troubleshoot complex, escalated issues, including connection, failed jobs, application errors, server alerts and space thresholds within predefined service level agreements (SLAs).
Proactively maintain and tune all code according to internally documented Data Engineering standards and best practices.
Review and ensure appropriate documentation for all new development and modifications of the Data Lake processes and jobs.
Perform code and process reviews and oversee testing for solutions developed, and ensure integrity and security of institutional data.
Educate business stakeholders on the usage and benefits of the data Lake / Lakehouse and related technologies.
Mentor and guide less experienced team members and provide feedback on project work.
Ensure all activities are in compliance with rules, regulations, policies, and procedures.
Complete other duties as assigned.
Bachelors degree in computer science, engineering, information technology, or related field, required.
Minimum eight years of technology operations experience required.
Experience in the commodities and energy space is required.
Strong knowledge of Relational Databases like Oracle, Postgres or SQL Server required.
Experience with Apache Spark or Spark-streaming, Message Queue technologies and Python required.
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