Data Engineer

Redolent • Dallas, TX

38d • Onsite

About The Position

One of our direct client is urgently looking for a Data Engineer in Dallas, TX for a 6 to 12+ month contract. The role requires demonstrating knowledge of the full software development lifecycle with experience building high-volume, scalable, reliable, and reusable software components. The engineer will specialize in providing big data solutions using Hadoop, MapReduce, Hive, Apache Spark, Pig, etc. They will also implement large-scale Data Warehouse projects using MPP systems like Teradata/Netezza/Hadoop from both structured and unstructured data sources. The position involves providing operational excellence through root cause analysis, internal process improvements, automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability. Expertise in Business Intelligence tools like Business Objects and Tableau is needed, along with scripting experience in Unix shell script and Python. The role also requires analytical and problem-solving skills applicable to Big Data technologies.

Requirements

• Experience building high volume, scalable, reliable and reusable software components.
• Experience with big data solutions using Hadoop, MapReduce, Hive, Apache Spark, Pig, etc.
• Experience implementing large-scale Datawarehouse projects using MPP systems like Teradata/Netezza/Hadoop from both structured and unstructured data sources.
• Experience with root cause analysis, internal process improvements, automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
• Expertise in Business Intelligence tools like Business Objects, Tableau.
• Experience in Scripting using Unix shell script, python.
• Analytical and problem-solving skills that applies to Big Data technologies.

Responsibilities

• Demonstrate knowledge of full software development life cycle with experience building high volume, scalable, reliable and reusable software components.
• Specialize in providing big data solutions using Hadoop, MapReduce, Hive, Apache Spark, Pig, etc.
• Implement large-scale Datawarehouse projects using MPP systems like Teradata/Netezza/Hadoop from both structured and unstructured data sources.
• Provide operational excellence through root cause analysis, internal process improvements, automating manual processes, optimizing data delivery, re­designing infrastructure for greater scalability.
• Exhibit analytical and problem-solving skills that applies to Big Data technologies.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed