Principal Data Engineer
Yesterday
🏡 Remote – New York
Description
• Own the technical leadership in Data Engineering team • Define, plan, deliver, and support modern data platforms • Develop flexible, maintainable, and reusable Data Engineering solutions • Solve complex development problems leveraging good design • Continually improve existing systems, processes, and performance • Lead planning and feature/user story analysis • Implement technical solutions based on solid design principles • Identify opportunities for departmental & team improvements • Document software, best practices, standards, and frameworks • Mentor staff by providing technical advice • Contribute as a subject matter expert • Keep up to date with tools, technology, and industry standards • Identify and lead learning and training opportunities
Requirements
• Bachelor’s degree or equivalent experience • 10+ years delivering scalable, secure, and highly available technical data solutions • 5+ years of experience designing and building Data Engineering pipelines with industry leading technologies such as Talend, Informatica, etc. • Extensive SQL experience • Experience with ELT processes for transformation push down and data replication using tools such as Matillion • Experience with Data Visualization tools such as PowerBI, ThoughtSpot, or others • Experience with Python • Experience with SQL Server, SSIS, and No-SQL DBs preferred • 3+ years of complex enterprise experience leading distributed Data Engineering teams • 3+ years of experience in cloud data environments leveraging technologies such as Snowflake and AWS • 3+ years of banking or financial services and products domain experience • Multiple successes driving Data Engineering in an agile environment (preferably with Kanban) • Prior experience designing and/or optimizing processes to ensure operational excellence • Experience with automated testing capabilities with Data Engineering preferred • Ability to communicate effectively with all levels in the company • Ability to collaborate in a team setting and work towards a common goal • Ability to influence stakeholders to consider alternate viewpoints • Ability to mentor and coach technical resources on Data Engineering guidelines and principles • Strong data architecture, critical thinking, and problem-solving abilities • Ability to navigate and work effectively across the organization
Benefits
• health insurance • 401(k) retirement benefits • life insurance • disability benefits • paid time off • more
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