2 days old
  • Job Code
  • Payrate
    $40 To $47

Data Engineering:

-Cleanse, manipulate and analyze large datasets (Structured and Unstructured data - XMLs, JSONs, PDFs) using Hadoop platform.

-Develop Python, Spark, HIVE scripts to filter/map/aggregate data. Scoop to transfer data to and from Hadoop.

-Manage and implement data processes including Data Quality scripts

-Analysis and Modeling:

-Perform R&D and exploratory analysis using statistical techniques and machine learning clustering methods to understand data.

-Develop data profiling, deduping logic, matching logic for analysis

-Big Data languages such a

-5+ years of experience in processing large volumes and variety of data (Structured and unstructured data, writing code for parallel processing, XMLS, JSONs, PDFs)

-3+ years of programming experience in at least 2 - Python, Spark, Java for data processing and analysis.

-Strong SQL experience

-2+ years of experience - using Hadoop platform and performing analysis.

Familiarity with Hadoop cluster environment and configurations for resource management for analysis works Python, Spark, HIVE for analytics and developing dashboards


  • Information Technology

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Data Analyst

Randstad Technologies
McLean, VA 22102

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Randstad Technologies
McLean, VA

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