Data Engineer MYMOVE
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Posted on 2/7/2024
INACTIVE
Red Ventures

1,001-5,000 employees

Digital marketing and consumer advice across diverse brands
Company Overview
Red Ventures stands out as a dynamic portfolio of businesses and brands that prioritize social impact, demonstrated by their commitment to initiatives like Road to Hire, which has provided mentorship and career opportunities to over 1700 under-resourced young adults. The company's competitive edge lies in its use of AI-driven digital marketing and world-class intelligence/analytics to simplify online experiences, backed by a diverse range of globally recognized brands. The culture at Red Ventures encourages raising the bar and challenging the status quo, fostering an environment of growth and innovation.
Consumer Goods

Company Stage

Private

Total Funding

$250M

Founded

2000

Headquarters

Fort Mill, South Carolina

Growth & Insights
Headcount

6 month growth

-6%

1 year growth

-13%

2 year growth

-27%
Locations
Charlotte, NC, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Agile
Redshift
Airflow
Git
Apache Spark
SQL
AWS
Jenkins
Data Analysis
Google Cloud Platform
CategoriesNew
Data & Analytics
Requirements
  • Minimum of 4 years of experience in data engineering
  • Good understanding of warehouse concepts
  • 3+ years of SQL experience
  • 2+ years of experience working with cloud data warehouses
  • 2+ years of experience working on AWS or GCP
  • 1+ years of experience working on Spark (RDDs / Data Frames / Dataset API)
  • 2+ experience with GitHub and CI/CD processes (CircleCI, Jenkins, GitHub Actions)
  • Experience working on Airflow, Prefect, or Dagster
  • Excellent understanding of development processes and agile methodologies
  • Enthusiastic, highly motivated, and ability to learn quickly
  • Bachelor’s degree in Computer Science, Information Technology, or a related field
  • Understanding of data analytics and basic knowledge of reporting tools
Responsibilities
  • Working with a cross-functional team of data engineers, software engineers, data analysts, and data scientists to understand business requirements
  • Contribute to key architectural decisions
  • Conceptualizing and generating infrastructure that allows data to be accessed and analyzed effectively
  • Documenting database design including data modeling, metadata, and process flow for business integrations
  • Documenting technical ETL/ELT specifications for a data warehouse
  • Design and build data pipelines from various sources to data warehouse using batch or incremental loading strategies utilizing cutting-edge cloud technologies like Fivetran, Redshift, Airflow, Databricks, and others
Desired Qualifications
  • Experience with Airflow, Prefect, or Dagster
  • Experience with reporting tools
  • Experience with data analytics
  • Experience with development processes and agile methodologies