Data Engineer (Snowflake & DBT)
: Job Details :


Data Engineer (Snowflake & DBT)

Greenthumb

Location: Chicago,IL, USA

Date: 2024-11-16T07:34:17Z

Job Description:
The Role

This role is pivotal in supporting the implementation of a new data architecture within the Data Team to meet increasing workload demands. The Data Engineer will play a key role in building, automating, and maintaining corporate automation workflows, aligning with the organization's strategic objectives. The objective is to enhance data processing capabilities to support informed decision-making and drive strategic impact.

This is a hybrid position and requires onsite work 1 time per week at our Chicago HQ office.

Responsibilities
  • Develop, implement, and maintain pipelines for ETL processes to facilitate data-driven decision-making.
  • Focus on ingesting, storing, processing, and analyzing large datasets efficiently.
  • Create scalable web services for tracking data to support organizational goals.
  • Translate technical and functional requirements into detailed designs.
  • Provide limited On-Call after-hours critical support on a rotating schedule with other team members.
Qualifications
  • Proficiency in building, implementing, and maintaining data pipelines for efficient ETL processes.
  • Strong SQL scripting and automation skills to streamline data workflows.
  • Familiarity with ETL tools and frameworks such as Fivetran.
  • Experience in maintaining and optimizing data infrastructure for accurate data processing.
  • Ability to automate data workflows such as data ingestion, aggregation, and ETL processing.
  • Skill in preparing raw data into consumable datasets for technical and non-technical stakeholders.
  • Knowledge of data engineering principles, data visualization, and data architecture.
  • Fluency in designing data models to support efficient data storage.
  • Understanding of data warehousing (Redshift, Snowflake), cloud computing (AWS), and data security.
  • Ability to provide data accuracy, integrity, privacy, security, and compliance.
  • Strong critical thinking and problem-solving skills to address data management issues effectively.
Additional Requirements
  • Must pass any and all required background checks
  • Must be and remain compliant with all legal or company regulations for working in the industry
  • Must be a minimum of 21 years of age

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