Software Engineer - Infrastructure, Data Platform
Designs and maintains near real-time data streaming platforms, data pipelines, and event-driven architectures. Requires advanced Python, SQL expertise, and 3+ years in software engineering focused on data systems.
About the job
Responsibilities
- Design and maintain a robust data streaming and messaging architecture.
- Ownership of our near real-time data streaming platform.
- Act as a technical liaison to ensure alignment of data strategies with business goals.
- Take charge of the entire data landscape, encompassing near real-time data ingestion, sophisticated processing, and efficient data consumption strategies.
- Collaborate closely with data stakeholders to simplify and solve complex data challenges, transforming them into scalable and maintainable technical solutions.
- Develop and maintain data pipelines, enhance data models, and refine API layers.
Required Qualifications
Data Systems Expertise
- Experience with real-time data systems
- Relational table modeling and Event driven pipeline architecture
- Working familiarity with SQL: Query Performance Analysis, Optimization, and Construction
Python Proficiency
- Advanced proficiency coding in Python
Preferred Qualifications
- 3-5 years of Software Engineering experience, with a preference for backgrounds in event-driven architecture or real-time data streaming
- Strong foundation in data analytics and big data technologies
Skills
Python, SQL, Data Pipelines, Event-Driven Architecture, Real-Time Data Streaming, Data Modeling, Big Data Technologies, Data Ingestion, API Development, Data Analytics
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