Data Engineer
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Salary
≈ $28k – $54k per year (Estimated)
Location
Remote (India)
Seniority
Senior · 6+ years exp
Overview
Company
Impact
Profile match
Forbes is a leading global media and branding company that focuses on business, investing, technology, entrepreneurship, leadership, and luxury lifestyle. It is widely recognized for its high-profile journalism, in-depth financial analysis, and influential lists, such as the Forbes 400 and the 30 Under 30, which track wealth and achievement worldwide. Through its digital platform and print publications, the organization provides news and insights that empower business leaders, investors, and entrepreneurs to succeed in a changing global economy.
Requirements:
- 6+ years of professional experience in Data Engineering.
- Strong proficiency in Python for building data pipelines.
- Advanced SQL skills for large-scale data processing.
- Hands-on experience with API data ingestion, including handling rate limits, pagination, and retries.
- Experience with data orchestration tools such as Airflow or equivalent.
Preferred skills:
- Hands-on experience with cloud data platforms like BigQuery.
- Understanding of Meta Ads platform fundamentals and marketing metrics including CTR, CPC, CPA, and ROAS.
- Exposure to event tracking systems such as GA4 or Snowplough.
Nice to have:
- Familiarity with microservices-style or modular data systems.
- Knowledge of lead generation workflows and funnel metrics.
Background and domain:
- Experience in AdTech, Marketing Analytics, or Lead Generation domains is highly valued.
- Previous experience at product-focused companies with high-scale data needs.
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