Data Engineer
Forbes Advisor
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. #J-18808-Ljbffr
Vacancy posted 2 days ago
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