Senior Data Engineer

Summary

Tiger Analytics seeks an experienced Lead Data Engineer to design, build, and optimize scalable batch and real-time data pipelines using Python, SQL, and distributed technologies like Spark and Kafka on cloud platforms (AWS, Azure, GCP). The role requires 10+ years of data/application engineering experience, 5+ years each with a major cloud platform, distributed processing frameworks, streaming applications, and cloud data warehouses (Snowflake, Databricks, Redshift). Responsibilities include leading pipeline development, data modeling, performance optimization, technical mentorship, and establishing engineering best practices across code quality, testing, deployment, and data quality.