Sr. Data Engineer

ELT, SQL, Python, Cloud, Google Cloud, Meta-data management
Full Time
Depends on Experience
Travel not required

Job Description

Green Key Resources is currently in search of a Sr. Data Engineer for a large eCommerce Company in Chicago, IL.

This is a 6-12month Contract position. Candidates must be open to sitting onsite in Chicago, IL M-F.

Position Summary:

The Data Engineer will collaborate with various other IT groups, business partners and external service providers and play a key role in the design, development and operations of our new analytics platform.
Job Responsibilities:

  • Participate in Requirements Gathering: work with key business partner groups (e.g. Product Mgt) and other Data Engineering personnel to understand department-level data requirements for the platform
  • Design Data Pipelines: work with other Data Engineering personnel on an overall design for flowing data from various internal and external sources into the platform
  • Build Data Pipelines: leverage standard toolset and develop ETL/ELT code to move data from various internal and external sources into the platform
  • Support Data Quality Program: work with Data QA Engineer to identify automated QA checks and associated monitoring & alerting to ensure the platform maintains consistently high quality data
  • Support Operations: triage alerts channeled to you and remediate as necessary
  • Technical Documentation: leverage templates provided and create clear, simple and comprehensive documentation for your development
  • Key contributor to defining, implementing and supporting:
    • Data Services
    • Data Dictionary
    • Tool Standards
    • Best Practices
    • Data Lineage
    • User Training

Skills & Responsibilities:

  • Strong ELT/ ETL designer/developer
  • Strong SQL
  • Strong Python
  • Structured & unstructured data expertise
  • Cloud environment development & operations experience (e.g. AWS, GCP)
  • Preference for candidates experienced with:
    • Google Cloud Platform (GCP) and associated services; e.g. BigQuery, GCS, Cloud Composer, Dataproc, Dataflow, Dataprep, Cloud Pub/Sub, Metadata DB, Data Studio, Datalab, other
    • Other important tools: Apache Airflow (scheduler), Bitbucket and git (version control), Stackdriver (ops monitoring), Opsgenie (alert notification), Docker
    • Real-time data replication/streaming tools
    • Data Modeling
  • Excellent verbal and written communications
  • Strong team player

Qualified Candidates should send a Word/PDF attached copy of their resume to Scott Gilinger at


Dice Id : 10215771
Position Id : 6441974
Originally Posted : 8 months ago
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