Responsibilities:

📍Focuses on technical leadership, defining patterns and operational guidelines for their vertical(s) 📍Independently scopes, designs, and delivers solutions for large, complex challenges 📍Provides oversight, coaching and guidance through code and design reviews 📍Designs for scale and reliability with the future in mind Conducts critical R&D 📍Successfully plans and delivers complex, long-term projects that span multiple teams or systems, including those with external dependencies 📍Identifies problems that need to be solved and advocates for their prioritization 📍Owns one or more large, mission-critical systems at Gemini, or multiple complex team-level projects, overseeing all aspects from design to implementation to operation 📍Collaborates with coworkers across the org to document and design how systems work and interact 📍Leads and coordinates large initiatives across domains, even outside their core expertise 📍Designs, architects and implements best-in-class Data Warehousing and reporting solutions 📍Builds real-time data and reporting solutions 📍Develops new systems and tools to enable the teams to consume and understand data more intuitively

Minimum Qualifications:

📍10+ years experience in data engineering with data warehouse technologies 📍10+ years experience in custom ETL design, implementation and maintenance 📍10+ years experience with schema design and dimensional data modeling 📍Experience building real-time data solutions and processes 📍Advanced skills with Python and SQL are a must 📍Experience and expertise in Databricks, Spark, Hadoop etc. 📍Experience with one or more MPP databases (Redshift, Bigquery, Snowflake, etc) 📍Experience with one or more ETL tools (Informatica, Pentaho, SSIS, Alooma, etc) 📍Strong computer science fundamentals including data structures and algorithms

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