Telemetry & Analytics Data Engineer (Strong Python)

Must have Skills

Python Scripting & Automation

Git Version Control (Clone, Branch, Merge)

SQL / Database Connectivity Testing

AWS

Snowflake

ETL/ELT

Job Title: Telemetry & Analytics Data Engineer

Duration: Long term

Location: Cupertino, CA- onsite

Role: Design, build, and maintain scalable telemetry and analytics data pipelines to support observability, code quality reporting, and operational dashboards across Ads and platform systems.

Key Responsibilities

Expand existing telemetry platforms by ingesting and integrating new data sources

Build and maintain data pipelines using AWS, Snowflake, Python, and SQL

Develop telemetry, observability, and code‑quality dashboards using Tableau, DataDog, or equivalent tools

Design data models and schema structures for telemetry, metrics, and performance data

Develop systems to analyze code quality and performance test metrics

Apply statistical techniques (standard deviation, trend analysis, outlier detection) for anomaly identification

Author and maintain runbooks to manage and operate telemetry infrastructure

Integrate telemetry pipelines with Ads alerting and monitoring solutions

Ensure data reliability, quality, scalability, and performance across telemetry systems

Skills

Programming: Python

Databases / Analytics: Snowflake, SQL

Cloud: AWS

Data Analysis: Statistical analysis, anomaly detection, trend analysis

Dashboards & Observability: Tableau, DataDog, or similar tools

Data Engineering Concepts: ETL/ELT, data modelling, schema design, data quality