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Data Engineer

In United States

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Data Engineer   

JOB TITLE:

Data Engineer

JOB TYPE:

Full-time

JOB LOCATION:

Houston United States

JOB DESCRIPTION:

<p><strong>Title – </strong>Data Engineer</p> <p><strong>Duration – </strong>6 Months</p> <p><strong>Location</strong> – Houston, Tx</p> <p> </p> <p style="margin-bottom:12.
0pt;"><span style="font-size:10.
5pt;font-family:72;color:#32363A;background:white;">Overview of Work:</span><br /><span style="font-size:10.
5pt;font-family:72;color:#32363A;"><span style="background:white;">• Perform Integration work (see below) while also managing the work of off-shore integration resources</span><br /><span style="background:white;">• Design and build the integration jobs that move data from existing SoR applications into and throughout the Client's MS Cloud environment (Data Lake, Azure SQL, Azure DWH) leveraging Client's common/standard integration patterns, tools, and languages (Azure Data Factory, Data Brick, Spark SQL, Python, PySpark)</span></span></p> <p style="margin-bottom:12.
0pt;"><span style="font-size:10.
5pt;font-family:72;color:#32363A;background:white;">Technical Skills:</span><br /><span style="font-size:10.
5pt;font-family:72;color:#32363A;"><span style="background:white;">• Azure Data Factory (ADF)</span><br /><span style="background:white;">• Azure Data Brick</span><br /><span style="background:white;">• Python</span><br /><span style="background:white;">• Spark SQL & PySpark</span><br /><span style="background:white;">• Azure Synapse, Azure SQL, Azure DWH</span><br /><span style="background:white;">• Azure Data Lake Storage / Analytics</span><br /><span style="background:white;">• Azure Database Migration Services</span><br /><span style="background:white;">• Knowledge in older integration and storage tools is beneficial (MS SQL Server, MS SSIS, IBM DataStage, etc.
)</span></span></p> <p><span style="font-size:10.
5pt;font-family:72;color:#32363A;background:white;">Soft Skills:</span><br /><span style="font-size:10.
5pt;font-family:72;color:#32363A;"><span style="background:white;">• Ability to navigate and comprehend mapping documents</span><br /><span style="background:white;">• Experience with CI/CD pipelines, branching strategies, & GIT for code management</span><br /><span style="background:white;">• Experience with Azure DevOps (ADO) tool for work management</span><br /><span style="background:white;">• Practitioner of Agile/SAFe practices</span><br /><span style="background:white;">• Experience with Job Scheduling tools</span></span></p>

Position Details

POSTED:

Nov 03, 2022

EMPLOYMENT:

Full-time

INDUSTRY:

SNAPRECRUIT ID:

S16527312268643099

LOCATION:

United States

CITY:

Houston

Job Origin:

OORWIN_ORGANIC_FEED

A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

Data Engineer   

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<p><strong>Title – </strong>Data Engineer</p> <p><strong>Duration – </strong>6 Months</p> <p><strong>Location</strong> – Houston, Tx</p> <p> </p> <p style="margin-bottom:12.0pt;"><span style="font-size:10.5pt;font-family:72;color:#32363A;background:white;">Overview of Work:</span><br /><span style="font-size:10.5pt;font-family:72;color:#32363A;"><span style="background:white;">• Perform Integration work (see below) while also managing the work of off-shore integration resources</span><br /><span style="background:white;">• Design and build the integration jobs that move data from existing SoR applications into and throughout the Client's MS Cloud environment (Data Lake, Azure SQL, Azure DWH) leveraging Client's common/standard integration patterns, tools, and languages (Azure Data Factory, Data Brick, Spark SQL, Python, PySpark)</span></span></p> <p style="margin-bottom:12.0pt;"><span style="font-size:10.5pt;font-family:72;color:#32363A;background:white;">Technical Skills:</span><br /><span style="font-size:10.5pt;font-family:72;color:#32363A;"><span style="background:white;">• Azure Data Factory (ADF)</span><br /><span style="background:white;">• Azure Data Brick</span><br /><span style="background:white;">• Python</span><br /><span style="background:white;">• Spark SQL & PySpark</span><br /><span style="background:white;">• Azure Synapse, Azure SQL, Azure DWH</span><br /><span style="background:white;">• Azure Data Lake Storage / Analytics</span><br /><span style="background:white;">• Azure Database Migration Services</span><br /><span style="background:white;">• Knowledge in older integration and storage tools is beneficial (MS SQL Server, MS SSIS, IBM DataStage, etc.)</span></span></p> <p><span style="font-size:10.5pt;font-family:72;color:#32363A;background:white;">Soft Skills:</span><br /><span style="font-size:10.5pt;font-family:72;color:#32363A;"><span style="background:white;">• Ability to navigate and comprehend mapping documents</span><br /><span style="background:white;">• Experience with CI/CD pipelines, branching strategies, & GIT for code management</span><br /><span style="background:white;">• Experience with Azure DevOps (ADO) tool for work management</span><br /><span style="background:white;">• Practitioner of Agile/SAFe practices</span><br /><span style="background:white;">• Experience with Job Scheduling tools</span></span></p>


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