Data Engineer-L3
HappieHire (company site, opens in a new tab)RemoteDirect career pageEst. 8–16 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable data pipelines and architectures primarily focused on Meta Ads and marketing data.
- Own end-to-end data use cases including lead funnel optimization, campaign attribution, and revenue reporting with measurable business impact.
- Collaborate closely with marketing, growth, and product teams to translate business requirements into data solutions and ensure data trust and usability.
Minimum Requirements
- Strong proficiency in Python and advanced SQL skills for large-scale data processing.
- Hands-on experience with data ingestion from APIs, data orchestration tools (e.g., Airflow), and familiarity with cloud data platforms like BigQuery.
- Solid understanding of Meta Ads platform fundamentals including campaign structure, attribution models, and lead generation workflows.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in building scalable, modular microservices-style data systems focused on marketing and ad platform data.
- Able to own full data product lifecycles impacting business outcomes such as revenue and lead quality.
- Strong analytical understanding of ad performance metrics and ability to interpret complex marketing data beyond surface metrics.