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Lead Data Engineer

Must HAve:

Bachelor’s degree in Computer Science or related disciplines.
5+ years of experience in design, development and building data oriented complex applications.
4+ years of hands-on progressive experience from SQL to Advanced SQL.
Experience working in data integration (ETL/ELT), data warehouse, data analytics architecture and sound understanding of design principles. Knowledge of and experience with Snowflake and other cloud native databases is highly preferred.
Development Experience in Cloud based PAAS platforms like Microsoft Azure, Google GCP or Amazon AWS
Deep understanding of Agile SDLC, DevOps and Cloud technologies required, in addition to exposure to multiple, diverse technologies, platforms, and processing environments.
Knowledge about various architectures, patterns such as unified data management architecture (UDM), data mesh architecture, event-driven architecture, real-time data flows, non-relational repositories, data virtualization, etc.
Experience with building solutions in the financial services domain with an understanding of financial instruments, transactions, and positions, is desired.

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Lead Data Engineer

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