Data Engineer
Updated on 2/28/2024
Fortune

1,001-5,000 employees

Global media organization providing business insights and storytelling
Company Overview
FORTUNE stands out as a leading global media organization, dedicated to providing its audience with unparalleled access to impactful business stories and insights. The company's strength lies in its ability to drive business conversations, leveraging historical wisdom and a forward-looking perspective to highlight significant trends and developments. With its trusted ability to engage and challenge industry shapers, FORTUNE not only illuminates the path for global leaders but also equips them with the tools to enhance business performance.
AI & Machine Learning
Data & Analytics

Company Stage

N/A

Total Funding

$1.3M

Founded

1929

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

0%

1 year growth

26%

2 year growth

65%
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Bash
Agile
Python
SQL
Tableau
AWS
JIRA
Looker
Data Analysis
Google Cloud Platform
Google Analytics
CategoriesNew
Data & Analytics
Requirements
  • 2+ years of relevant professional experience in a technical, data centric role (analyst, modeler, engineer). Preferably in digital media or publishing.
  • Experience with web analytics platforms (ex. Google Analytics, Amplitude) – Piano Analytics is a plus.
  • Deep knowledge of SQL fundamentals.
  • Proficiency in Python and experience with building ETLs and/or using ETL tools (ex. AWS Glue, DBT).
  • Experience with data modeling and business logic design.
  • Experience with at least one of the major cloud platforms (ex. AWS, GCP)
  • Familiarity with OLTP databases.
  • Familiarity with Jira or other agile project management platforms.
  • Familiarity with a visualization tool (ex. Looker, Tableau).
  • Bonus – familiarity with Shell / Bash scripting.
Responsibilities
  • Scope, document, and ingest data from structured and unstructured sources into Fortune’s data warehouse.
  • Collaborate with BI & Analytics stakeholders to fully understand business and technical requirements, and be able to communicate a clear path of work.
  • Design, develop, and deploy data models to meet BI & Analytics use cases.
  • Explore and structure web analytics data capture with our Product Analytics lead.
  • Identify opportunities for optimization with our existing pipelines and data warehouse automations.
  • Document and provide support for existing implemented solutions.
  • Collaborate across the Data Engineering team to add value where necessary.
Desired Qualifications
  • Experience in digesting business requirements and translating those needs into technical implementation.
  • Communicating architecture and implemented solutions in understandable terms to non-technical partners.
  • Agency – owning and delivering on your responsibilities.
  • Coachability and willingness to learn.
  • Team player and champion for collaboration.
  • Transparent in communicating work.