Job Details

Job Description

Support Growth Monetization initiatives by building and optimizing scalable data pipelines that enable experimentation, analytics, and business insights.
This role is heavily focused on large-scale data engineering, SQL-driven experimentation analysis, and building reliable data infrastructure that supports cross-functional teams including Product, Data Science, Marketing, and Engineering.

Responsibilities

Design, build, optimize, and maintain scalable data pipelines supporting Growth Monetization initiatives
Write complex SQL queries to analyze A/B testing and experimentation results
Develop and enhance ETL/ELT workflows for large-scale structured and unstructured datasets
Improve pipeline performance, reliability, scalability, and overall data quality
Process high-volume datasets using distributed data processing technologies
Build automated monitoring, alerting, and validation frameworks for pipeline health and data integrity
Partner with Data Science, Product, Marketing, and Engineering teams to deliver scalable data solutions and actionable insights
Identify and resolve data quality, performance, and operational issues across data platforms

Required Qualifications

Minimum 5 years of data engineering experience
Strong SQL expertise with experience writing and optimizing complex queries against large datasets
Hands-on experience with Big Data technologies such as Hadoop, Hive, Spark, or similar distributed processing frameworks
Experience building and optimizing scalable data pipelines in cloud or enterprise environments
Experience developing ETL/ELT workflows and orchestration processes
Experience with pipeline monitoring, data validation, and performance tuning
Strong collaboration skills and ability to work with both technical and business stakeholders
Experience supporting experimentation, analytics, or data-driven decision making environments is highly preferred

Compensation

Requisition ID: 37270893

Data Engineer

Job Description & Responsibilities