Data Engineer I

  • location: Chicago, IL
  • type: Permanent
  • salary: $85,000 - $105,000 per year
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job description

Data Engineer I

job summary:
The Data Engineer will be responsible for creating and maintaining optimal data pipeline architecture for our next generation Data Warehouse, reporting, and data analytics environment. The individual will be a part of a team responsible for building, managing and monitoring all data transformation and data load into the Data platform on AWS.

location: Chicago, Illinois
job type: Permanent
salary: $85,000 - 105,000 per year
work hours: 8am to 5pm
education: Bachelors
  • Identify, design, and implement internal data process improvements by: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of structured and unstructured data sources using SQL and AWS 'big data' technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with internal stakeholders, including executives, to assist with data-related technical issues and support their data needs.
  • Work with data and analytics experts to strive for greater functionality in our data systems.
  • Assist in developing data model architecture for the next generation management reporting system
  • Ongoing maintenance of the data warehouse
  • Bachelor's degree in Information Systems, Computer Science, Computer Engineering, or related areas
  • One or more Industry certifications; AWS Developer Associate, Certified Big Data Specialty, Certified Associate in Python programing (PCAP), Apache Spark will be given preference
  • 1-2 years of programing in the field of data engineering, SQL and related technologies
  • Apache Spark and PySpark, Hadoop
  • SQL and any NoSQL and RDBMS platforms
  • Python, Java, JavaScript PL/SQL, XML, XSLT
  • Git or similar shared code repository
  • AWS cloud services
  • DevOps practices
  • Self-motivated problem solver who has worked on building data transformation process to support business intelligence applications in a large environment will be given preference.
  • Excellent organization skills, diagnostics and problem-solving abilities as well as strong written and verbal communication skills.
  • Energetic, able to clearly communicate ideas and deliver results

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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