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  • ID
    #6098405
  • Job type
    Contract
  • Salary
    Depends on Experience
  • Source
    WB Solutions LLC
  • Date
    2020-11-24
  • Deadline
    2021-01-23

Big Data Engineer

Arkansas, Bentonville, 72712 Bentonville USA
 
Contract

Vacancy expired!

Greeting from WB Solutions.! We have the Urgent requirement for

“Big Data Engineer" at

“Bentonville, AR" – Long Term Contract

Job Title: Big Data Engineer

Location: Bentonville, AR

Duration: Long Term Contract

Job DescriptionClient is looking for a Big Data Engineer to play a key role in building industry leading Customer Information Analytics Platform. Are you passionate about Big Data and highly scalable data platforms? Do you enjoy building end to end Analytics solutions to help drive business decisions? And if you have experience in building and maintaining highly scalable data warehouses and data pipelines with high transaction volumes then we need you

  • Design; develop; implement; test; document; and operate large-scale; high-volume; high-performance data structures for analytics and deep learning.
  • Implement data ingestion routines both real time and batch using best practices in data modeling; ETL/ELT processes leveraging AWS technologies and Big data tools. Logical abstraction layer against large; multi-dimensional datasets and multiple sources.
  • Gather business and functional requirements and translate these requirements into robust; scalable; operable solutions that work well within the overalldataarchitecture.
  • Produce comprehensive; usable dataset documentation and metadata.
  • Provides input and recommendations on technical issues to the project manager.

You bring:
  • 5+ years of experience with detailed knowledge of data warehouse technical architectures; infrastructure components; ETL/ ELT and reporting/analytic tools.
  • 5+ years of work experience with very large data warehousing environment
  • 3+ years of experience data modeling concepts
  • 3+ years of Python development experience
  • 2+ years’ experience in Big Data stack environments (EMR; Hadoop; Glue; Hive)
  • Experience with Kafka; Flume and AWS tool stack such as Redshift and Kinesis are preferred.
  • Experience in writing Spark ETL jobs
  • Experience using software version control tools (Git; Jenkins; Apache Subversion)
  • Demonstrated strength in architecting data warehouse solutions and integrating technical components
  • Good analytical skills with excellent knowledge of SQL.
  • Excellent communication skills; both written and verbal

Vacancy expired!

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