This document provides an overview of the Marketing Data Engineering & Infrastructure team at Netflix. The team's mission is to use data to inform Netflix Marketing through analyzing ads, social, and geo data using technologies like Java, Scala, Python, Spark, and Hive. They develop ETL pipelines and data models, work on a quasi-testing platform, and improve systems and processes. They have openings for Senior Data and UI Engineers and encourage Netflix's culture of alignment, freedom, and informed decision making.

1. Marketing
Data Engineering &
Infrastructure
Team Overview

2. Team Mission
Data to inform Netflix Marketing

3. Data Subject Areas
Ads Data Social Data Geo Data

4. Platform Ownership
Quasi-Testing Platform - Netflix internal

5. Sample Work
● Spark based ETL pipeline development to ingest Twitter data
● Evolving data models in Hive to power accurate global Geo metrics
● Feature development on Quasi-Testing Platform to enable design
of quasi experiments
● Internal system migrations, documentation, alerting and monitoring
improvements, deprecation and on-call rotation

6. Technology Stack
● Programming: Java, Scala, Python, Pig,Hive
● Compute: Hadoop, Spark, Flink
● Data stores: Hive, Druid, MySql, Elasticsearch
● External Systems: Google DBM, Facebook Analytics
● AWS Technologies: S3, EC2, ASGs, Redshift
● Netflix Open Source: Genie, Meson, Spinnaker, Titus , Metacat

7. Open Positions
● Senior Data Engineer, Marketing
● Senior UI Engineer, Quasi-Testing Platform

8. Netflix Culture
Highly Aligned, Loosely Coupled
Freedom & Responsibility
Context Not Control
Informed Captains
Dream Team

9. Come join the fun!