Data Engineer
On-siteDallas, Texas, United States
Job Summary
Build high-volume, scalable software components using the full software development life cycle. Implement large-scale data warehouse projects with Hadoop, MapReduce, Hive, Apache Spark, and Pig, processing both structured and unstructured data sources. Deliver operational excellence through root cause analysis, automating manual processes, and optimizing data delivery while redesigning infrastructure for greater scalability. Leverage expertise in Business Intelligence tools like Tableau and Business Objects, utilizing Unix shell scripts and Python for scripting. Demonstrate strong analytical and problem-solving skills applied to big data technologies. This six-to-twelve-month contract in Dallas TX offers a DOE rate for a direct client engagement.
Required Qualifications
- 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
- Expertise in Business Intelligence tools like Business Objects, Tableau
- Experience in Scripting using Unix shell script, python
- Exhibit analytical and problem-solving skills that applies to Big Data technologies
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