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Data Engineer III at Experis

Data Engineer III

Experis Seattle, WA Contractor
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Data Engineer

9-11 months contract

Remote - Pacific time zone schedule

*W2 only - not available for C2C or visa sponsorship

RESPONSIBILITIES:

  • Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science.
  • Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools.
  • Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
  • Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation
  • Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.

REQUIRED SKILLS

  • 3+ years Industry experience as a Data Engineer or related specialty (e.g., Business Intelligence Engineer, Data Architect).
  • SQL and Python experience.
  • Experience with AWS.
  • Will be working with an Engineering team, looking for someone to come in and start helping day one. Big emphasis with delivering results and following Company leadership principles.
  • Degree in Computer Science, Engineering, Mathematics, or a related field.
  • 5+ years of experience with demonstrated strength in ETL/ELT, data modeling, data warehouse technical architecture, infrastructure components and reporting/analytic tools.
  • 5+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets.
  • 3+ years of experience in scripting languages like Python etc.

PREFERRED SKILLS

  • Track record of manipulating, processing, and extracting value from large datasets.
  • Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
  • Experience building data products incrementally and integrating and managing datasets from multiple sources
  • Experience leading large-scale data warehousing and analytics projects, including using AWS technologies - Redshift, S3, EC2, etc.
  • Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space
  • Linux/UNIX
  • Experience with AWS
  • A desire to work in a collaborative, intellectually curious environment.
 

Recommended Skills

Data Warehousing
Data Architecture
Data Modeling
Business Intelligence
Analytic Applications
Data Extraction

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