Role: Data Engineer L3
Experience: 7+ years
Work-mode: Remote
Employement type: Full time
Budget: 38 LPA

Role description:
We are looking for a highly skilled Data Engineer (L3) with strong expertise in Python, data ingestion pipelines and marketing data systems, particularly with the Meta Ads ecosystem. This role sits at the intersection of data engineering and social/native platforms, enabling scalable data pipelines, highquality datasets, and lead generation and business decision-making.

This role goes beyond building pipelines - will be responsible for:
· Designing scalable data architecture
· Driving business outcomes (revenue, lead quality, conversion efficiency)
· Owning how data is used, trusted and acted upon

The ideal candidate will not manage campaign buying or bidding directly but must clearly
understand ad platform mechanics, attribution models and lead quality scores and will work
closely with the Data Lead / Engineering Lead, acting as a key contributor in shaping
solutions, making technical decisions, and delivering high-impact data products.

Responsibilities:





Data Engineering & Pipelines:
- Design, build, and maintain robust data data pipelines for social marketing and product data sources (APIs, event streams, batch systems)
- Develop scalable ETL/ELT workflows / microservices using Python and SQL
- Ensure high data quality, reliability and observability across pipelines
- Optimize data models for analytics and reporting use cases

Marketing & Ad Platform Data:
1. Own ingestion and modeling of data from Meta Ads (Facebook) and other digital
marketing platforms

2. Build datasets that support:
- Campaign performance tracking
- Lead funnel analysis
- Attribution and conversion tracking

3. Understand key concepts such as:
- Campaign structure (campaign/ad set/ad level)
- Bidding & optimization signals
- Attribution windows
- Pixel / event tracking

Business Understanding & Collaboration:
- Translate business requirements from marketing, growth a

📌 Senior Data Engineer (Thane)
🏢 HappieHire
📍 Thane