Space Products and Innovation spins technology into the space industry to simplify manufacturing. SPiN enables rapid, flexible, and cost-effective satellite designs through modularity, enabled by the combination of MA61C, its plug-and-play intelligent data... Backed by Techstars.
About the role
Responsible for designing, developing, and maintaining robust data pipelines and architectures that support the organization’s data-driven initiatives. This role contributes to all phases of the data engineering lifecycle, ensuring scalability, reliability, and performance. Demonstrates technical leadership by solving complex problems, mentoring junior engineers, and actively improving data engineering practices. Found on 1752vc Careers, the job board for startup and VC roles.
More about this role
Objective of the Role
Responsible for designing, developing, and maintaining robust data pipelines and architectures that support the organization’s data-driven initiatives. This role contributes to all phases of the data engineering lifecycle, ensuring scalability, reliability, and performance. Demonstrates technical leadership by solving complex problems, mentoring junior engineers, and actively improving data engineering practices.
Main Responsibilities
• Design and implement scalable and efficient data pipelines for ingesting, processing, and storing structured and semi-structured data from diverse sources.
• Collaborate with stakeholders to gather requirements, identify data sources, and define the feasibility of requested solutions.
• Develop and optimize ETL processes, ensuring the accuracy, consistency, and integrity of data throughout its lifecycle.
• Create and maintain data models, adhering to best practices for normalization and performance optimization.
• Build and manage cloud-based data architectures, including data lakes, data warehouses, and real-time streaming solutions.
• Implement monitoring and alerting systems to ensure the reliability and performance of data...
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