Senior Big Data Engineer - Contract - Minneapolis, MN (Hybrid)

Overview

On Site
Accepts corp to corp applications
Contract - Contract

Skills

ETL
Big Data
data Analyst
Marklogic

Job Details

Hi,

Our client is looking for a Senior Big Data Engineer with a Long-Term Contract project in Minneapolis, MN (Hybrid). below is the detailed requirement.

Position : Senior Big Data Engineer

Location : Minneapolis, MN (Hybrid)

Duration : Long-Term Contract

EXP : 12+ Years

Required Skills : MarkLogic, Big Data, ETL, Data Analyst, Geospatial Data

Responsibilities :

  • Analyze and interpret complex geospatial data to support strategic business decisions.
  • Utilize MarkLogic to manage and query large datasets efficiently.
  • Implement Big Data solutions to handle vast amounts of geospatial information.
  • Develop ETL processes to ensure seamless data integration and transformation.
  • Collaborate with cross-functional teams to understand data requirements and deliver insights.
  • Provide data-driven recommendations to enhance business operations and strategies.
  • Ensure data accuracy and integrity through rigorous validation and quality checks.
  • Create detailed reports and visualizations to communicate findings to stakeholders.
  • Stay updated with the latest geospatial technologies and industry trends.
  • Optimize data workflows for improved efficiency and performance.
  • Support data governance initiatives to maintain compliance and security standards.
  • Contribute to the development of data analytics tools and methodologies.
  • Drive innovation by exploring new data sources and analytical techniques.

Qualifications:

  • Possess strong expertise in MarkLogic for managing large datasets.
  • Demonstrate proficiency in Big Data technologies for handling extensive geospatial data.
  • Exhibit advanced skills in ETL processes for seamless data integration.
  • Have a solid background in data analysis with a focus on geospatial data.
  • Show experience in creating data visualizations and reports for stakeholders.
  • Be familiar with data governance practices and compliance standards.
  • Display a keen interest in staying updated with industry trends and technologies.

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