Analytics Engineer (X)
Core
Build and maintain robust data systems enabling high-impact quantitative analysis and business decision-making at global scale.
Role type
Senior IC Analytics Engineer
Builds
Production-grade data systems and insights
Domain
Technology / Data Infrastructure
Deliverable
production ML models
Required skills
Python, SQL, Spark, Flink, Hadoop, distributed computing, statistical modeling, A/B testing, causal analysis, data pipeline design, data quality engineering, real-time streaming, low-latency processing
Preferred skills
predictive modeling, hypothesis testing, experimental design, cloud data orchestration, open-source contributions, operational cost reduction, system efficiency optimization
Technologies
Spark, Kafka, Flink, Hadoop, Python, SQL
Responsibilities
Design and optimize end-to-end data pipelines for high-volume datasets; Develop quantitative models and statistical frameworks for experimentation and forecasting; Build and maintain data infrastructure ensuring quality and accessibility; Collaborate with product and operations teams to translate requirements into data systems; Conduct A/B tests and causal analysis to drive metric improvements; Implement monitoring, alerting, and automation for real-time decision support; Mentor team members on scalable data engineering practices
Seniority
Senior, hands-on IC
