Data Engineer

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.