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Data Engineer II

Company: Experis
Location: Seattle
Posted on: November 23, 2021

Job Description:

Data EngineerContract: 4-11 months (Extension or Conversion to FTE possible)Location: RemoteOverview: Our high profile E-Commerce client is looking for a Data Engineer to join the Infrastructure Automation team. Our client has over 70 million customers, and developers all over the world rely on our storage, compute, and virtualized services. Our success depends on our world-class network and hardware infrastructure; we're handling massive scale and rapid integration of emergent technologies. Our goal is to become "The Infrastructure Platform" for the world. The Infrastructure Automation team is responsible for delivering the software that powers our infrastructure.As a Data Engineer, you should be an expert in the architecture of DW solutions using multiple platforms. You should excel in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business analysts, data scientists and BI engineers to determine how best to build data solutions for reporting, metrics, analysis, science, and thought-partnership. You will be responsible for designing and implementing scalable ETL processes in the data warehouse platform to support the rapidly growing and dynamic business demand for data. Responsibilities

  • Design, implement and support end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective
  • Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using AWS big data technologies
  • Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
  • Collaborate with Data Scientists and Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
  • Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers Required Qualifications
    • 3-6 years of related experience
    • Very Strong development experience with notable BI reporting tools (Oracle BI Enterprise Edition (OBIEE)).
    • Experience developing complex and a variety of reports
    • Strong analytical skills
    • Good knowledge of SQL
    • 3+ years of experience as a Data Engineer or in a similar role
    • Experience with data modeling, data warehousing, and building ETL pipelines
    • Experience in SQL
    • Experience using big data technologies such as Spark, Hive, Redshift, or S3
    • Experience in one or more of: Python, R, Bash, or other scripting language
    • Experience manipulating, processing, and extracting value from datasets
    • Knowledge of data management fundamentals and data storage principlesPreferred Qualifications
      • Masters in computer science, mathematics, statistics, economics, or other quantitative fields.
      • Experience working with AWS big data technologies (Redshift, S3, EMR)
      • Demonstrated strength in data modeling, ETL development, and data warehousing
      • Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
      • Experience providing technical leadership and mentoring other engineers for best practices on data engineering
      • Familiarity with statistical models and data mining algorithms
      • Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.

Keywords: Experis, Seattle , Data Engineer II, Engineering , Seattle, Washington

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