Forbes
Media • Finance • B2C
Forbes is a prominent global media company, known for its brand of content covering a wide range of topics such as business, investing, technology, entrepreneurship, leadership, and lifestyle. It features news, analysis, and information about issues of concern to industry leaders and affluent individuals. Forbes is widely recognized for its authoritative rankings of businesses and industry leaders, such as the Forbes Global 2000, and is a trusted source for in-depth analysis of current events and trends in the financial and corporate worlds. Through its digital and print platforms, Forbes engages its audience with high-quality journalism and thought leadership content.
201 - 500 employees
Founded 1917
📱 Media
💸 Finance
👥 B2C
💰 $200M Corporate Round on 2022-02
Data Engineer, L1
Job not on LinkedIn
November 5
Forbes
Media • Finance • B2C
Forbes is a prominent global media company, known for its brand of content covering a wide range of topics such as business, investing, technology, entrepreneurship, leadership, and lifestyle. It features news, analysis, and information about issues of concern to industry leaders and affluent individuals. Forbes is widely recognized for its authoritative rankings of businesses and industry leaders, such as the Forbes Global 2000, and is a trusted source for in-depth analysis of current events and trends in the financial and corporate worlds. Through its digital and print platforms, Forbes engages its audience with high-quality journalism and thought leadership content.
201 - 500 employees
Founded 1917
📱 Media
💸 Finance
👥 B2C
💰 $200M Corporate Round on 2022-02
📋 Description
• Assemble large, complex data that meet functional/non-functional business requirements. • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing transformation for greater scalability, etc. • Use the infrastructure/services required for optimal extraction, transformation, and loading of data from a wide variety of data sources using GCP services. • Work with stakeholders including the Product, Data and Design teams to assist with data-related technical issues and support their data requirement needs.
🎯 Requirements
• Bachelor’s degree with Minimum 1.5+ years of experience working in globally distributed teams successfully • Must have experience working on Python and data handling frameworks(spark, beam, etc) • Apply experience with cloud storage and computing for data pipelines in GCP (GCS, BQ, composer, etc) • Write pipelines in Airflow to orchestrate data pipelines • Experience handling data from 3rd party providers is a great plus: Google Analytics, Google Ads etc. • Experience in manipulating, processing and extracting value from large disconnected datasets. • Experience with software engineering practices in data engineering, e.g. release management, testing, etc and corresponding tooling (dbt, great expectations, …) • Basic knowledge on dbt is a good to have • Knowledge on data privacy and security • Excellent verbal and written communication skills
🏖️ Benefits
• Monthly long weekends — every third Friday off • Wellness reimbursement to support your health and balance • Paid parental leave • Remote-first with flexibility and trust • Work with a world-class data and marketing team inside a globally recognized brand
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