Principal Data Engineer, Gemini

• 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
• Strong software engineering skills in any server side language, preferable Python
• Experienced in working collaboratively across different teams and departments
• Strong technical and business communication skills

Desirable

• As a member of our data engineering team, you'll be setting standards for data engineering solutions that have organizational impact
• You'll provide Architectural solutions that are efficient, robust, extensible and are competitive within business and industry context
• You'll collaborate with senior data engineers and analysts, guiding them towards their career goals at Gemini. Communicating your insights with leaders across the organization is paramount to success
• Focused 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. Can do critical R&D
• Successfully plans and delivers complex, multi-team or system, long-term projects, including ones 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 through implementation through operation
• Collaborates with coworkers across the org to document and design how systems work and interact
• Leads large initiatives across domains, even outside their core expertise. Coordinates large initiatives
• 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