Data Engineer

2 months ago


Chicago, United States MaetaData Full time

Job Description for Data Engineer

  • Use programming language and tools (SQL, Python) to automate data intake and cleansing processes
  • Create and maintain data visualization dashboards and reports for internal and external use
  • Identify ways to improve data reliability, efficiency and quality
  • Develop, construct, test and maintain cloud architectures
  • Interface with research team to incorporate latest industry and business intelligence
  • Use large data sets to continually address business issues
  • Document best practices and create state of data documentation
  • Deploy sophisticated analytics programs, machine learning and statistical methods
  • Deliver updates to stakeholders based on analytics
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
  • Keep data separated and secure across national boundaries through multiple data centers within AWS and Google Cloud


Qualifications for Data Engineer

  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience with object-oriented/object function scripting languages, particularly Python and Pandas
  • Data visualization expertise with proven examples in Power BI or other visualization tools
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • Strong project management and organizational skills.
  • We are looking for a candidate with 3+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:


Required

  • Experience with relational SQL databases, including Postgres and MySQL
  • Experience with object-oriented/object function scripting languages, particularly Python and Pandas
  • Familiarity with data visualization tools, particularly PowerBI or equivalent such as Tableau


Nice To Have

  • Familiarity with AWS cloud services: EC2, RDS, Data Pipeline
  • Familiarity with GCE cloud services: BigQuery, Composer, CloudSQL
  • Knowledge of the food industry and/or supply chain

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