Tech Stack

Description

You will set the technical direction for data modeling, processing, and delivery at Gemini, partnering with cross-functional teams to build scalable, governed data systems that power analytics and machine learning.

Requirements

• 10+ years of data engineering experience
• Deep expertise in Python and SQL for production-quality code
• Experience with large-scale data warehouses (Databricks, BigQuery, Snowflake)
• Hands-on data modeling (dimensional modeling, normalization, schema design)
• Experience with real-time/streaming data (Kafka, Kinesis, Flink, Spark Streaming)

Responsibilities

• Define long-term vision for data architecture, modeling, and transformation
• Establish standards for data reliability, observability, and quality across pipelines
• Partner with engineers to unify data production, storage, and consumption
• Lead large-scale design initiatives spanning multiple teams and systems
• Mentor junior and mid-level data engineers through code reviews and best practices