Sr Data Engineer

Summary

What you'll do

• Serve as a senior technical contributor on Pismo’s data stack, leading the design and development of robust, scalable data pipelines using modern Big Data frameworks.
• Drive continuous improvement in platform performance, reliability, and cost-effectiveness, proactively identifying opportunities for innovation.
• Take ownership of production operations and monitoring (file- and event-based systems), ensuring adherence to SLAs and applying best practices for observability and resilience.
• Collaborate with cross-functional teams to architect, build, and evolve high-complexity data features, reducing technical debt and championing engineering excellence.
• Provide mentorship to peers through code reviews, feedback, and support, fostering an environment of knowledge sharing and professional development.
• Participate in on-call rotations, promptly addressing and resolving production incidents, while proactively implementing preventative measures.
• Build and optimize ETL/ELT processes to handle large-scale data, leveraging advanced data processing and distributed systems techniques.
• Maintain rigorous data governance and platform standards, working closely with data stakeholders to ensure consistent, high-quality data assets.
• Introduce and adopt new technologies, tools, or techniques that accelerate development cycles, improve performance, and reduce costs.
• Conduct root-cause analyses for critical issues, challenging and refining team processes to enhance efficiency and reliability.
• Influence multiple teams by promoting a culture of technical excellence, forward-thinking solutions, and continuous improvement.

Minimum Qualifications

Technical Skills:

• 3+ Years experience with Golang 
• 3+ Years experience with AWS Services ( Lambda, SQS, S3 )
• 2+ Years experience with Terraform
• Software Engineering experience ( building steaming applications / data platforms )

Desirable Qualifications

• Python experience