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Data Engineer

In United States

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Data Engineer   

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JOB TITLE:

Data Engineer

JOB TYPE:

JOB SKILLS:

JOB LOCATION:

Houston United States

JOB DESCRIPTION:

Title – Data Engineer

Duration – 6 Months

Location – Houston, Tx/Hybrid

Summary:

The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

Responsibilities for Data Engineer

  • Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big datatechnologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.

 Qualifications for Data Engineer –

  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing big data, data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable big data stores.

 

Position Details

POSTED:

Nov 03, 2022

EMPLOYMENT:

INDUSTRY:

SNAPRECRUIT ID:

S16523280306923222

LOCATION:

United States

CITY:

Houston

Job Origin:

OORWIN_ORGANIC_FEED

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In Dallas Fort Worth
Aug 19, 2017 9am-6pm
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<p><strong>Title – </strong>Data Engineer</p> <p><strong>Duration – </strong>6 Months</p> <p><strong>Location – </strong>Houston, Tx/Hybrid</p> <p>Summary:</p> <p>The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.</p> <p>Responsibilities for Data Engineer</p> <ul style="margin-top:0cm;" type="disc"> <li data-level="1" data-list="0" style="margin-left:-18.0pt;"><span>Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional / non-functional business requirements. </span></li> <li data-level="1" data-list="0" style="margin-left:-18.0pt;"><span>Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. </span></li> <li data-level="1" data-list="0" style="margin-left:-18.0pt;"><span>Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big datatechnologies. </span></li> <li data-level="1" data-list="0" style="margin-left:-18.0pt;"><span>Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. </span></li> <li data-level="1" data-list="0" style="margin-left:-18.0pt;"><span>Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.</span></li> <li data-level="1" data-list="0" style="margin-left:-18.0pt;"><span>Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. </span></li> <li data-level="1" data-list="0" style="margin-left:-18.0pt;"><span>Work with data and analytics experts to strive for greater functionality in our data systems.</span></li> </ul> <p> Qualifications for Data Engineer –</p> <ul style="margin-top:0cm;" type="disc"> <li data-level="1" data-list="0" style="margin-left:-18.0pt;"><span>Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. </span></li> <li data-level="1" data-list="0" style="margin-left:-18.0pt;"><span>Experience building and optimizing big data, data pipelines, architectures and data sets. </span></li> <li data-level="1" data-list="0" style="margin-left:-18.0pt;"><span>Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. </span></li> <li data-level="1" data-list="0" style="margin-left:-18.0pt;"><span>Strong analytic skills related to working with unstructured datasets. </span></li> <li data-level="1" data-list="0" style="margin-left:-18.0pt;"><span>Build processes supporting data transformation, data structures, metadata, dependency and workload management. </span></li> <li data-level="1" data-list="0" style="margin-left:-18.0pt;"><span>A successful history of manipulating, processing and extracting value from large disconnected datasets. </span></li> <li data-level="1" data-list="0" style="margin-left:-18.0pt;"><span>Working knowledge of message queuing, stream processing, and highly scalable big data stores.</span></li> </ul> <p> </p>


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