Data Engineer, L3

This is a fully remote position, open to applicants in India.

📋 Description

• Creating scalable data architecture

• Driving business results (revenue, lead quality, conversion efficiency)

• Taking ownership of data utilization, trust, and actionable insights

• Designing, constructing, and maintaining robust data pipelines for social marketing and product data sources (APIs, event streams, batch systems)

• Developing scalable ETL/ELT workflows and microservices utilizing Python and SQL

• Ensuring high data quality, reliability, and observability throughout the pipelines

• Optimizing data models for analytics and reporting scenarios

• Managing the ingestion and modeling of data from Meta Ads (Facebook) and other digital marketing platforms

• Constructing datasets that facilitate: Campaign performance tracking, Lead funnel analysis, Attribution and conversion tracking

• Converting business requirements from marketing, growth, and product teams into scalable data solutions

• Defining success metrics linked to revenue and performance

• Enabling self-service analytics through well-organized datasets

• Implementing validation checks, monitoring, and alerting for pipelines

• Ensuring consistency across various marketing data sources

• Maintaining comprehensive documentation of data models and pipelines

• Collaborating closely with marketing, growth, and analytics teams to grasp real-world use cases

• Overseeing key use cases such as: Lead funnel optimization, Campaign attribution, Revenue reporting, and forecasting

⛳️ Requirements

• Strong expertise in Python (essential)

• Advanced SQL capabilities for processing large-scale data

• Practical experience with data ingestion from APIs (handling rate limits, pagination, retries)

• Familiarity with data orchestration tools (e.g., Airflow or equivalent)

• Knowledge of cloud data platforms (BigQuery, etc.)

• Experience in constructing scalable data ingestion systems

• Understanding of microservices-style or modular data systems

• Strong grasp of performance and cost optimization

• Solid knowledge of Meta Ads platform fundamentals

• Familiarity with: Campaign hierarchy and metrics (CTR, CPC, CPA, ROAS)

• Understanding of conversion tracking and attribution models

• Knowledge of lead generation workflows and funnel metrics

• Capability to analyze marketing data beyond surface-level metrics

• Exposure to event tracking systems (GA4, Snowplow, etc.)

• Experience with other advertising platforms (Google Ads, Bing Ads, etc.)

• Knowledge of data modeling best practices (e.g., star schema, dbt)

• Experience with real-time or near real-time data pipelines

🏝️ Benefits

• Day off on the 3rd Friday of every month (resulting in one long weekend each month)

• Monthly Wellness Reimbursement Program to support health and well-being

• Monthly Office Commutation Reimbursement Program

• Paid paternity and maternity leave