Software Engineer focusing on data infrastructure at Persona, building and maintaining data platforms for analytics applications. Collaborating closely with product and data science teams in a hybrid environment.
Responsibilities
Build and expand the data platform using cutting edge technologies for the cloud data stack.
Design and implement efficient data models to power analytics and core product workflows.
Collaborate with stakeholders to translate business and product needs into product features.
Identify new opportunities to use data in transformative ways across product, data science, and business teams.
Requirements
3+ years of experience in software engineering, with a focus on data infrastructure or large-scale data systems.
Proficiency in Python and familiarity with technologies like Kafka, Snowflake, ClickHouse, Airflow and Apache Flink.
Experience designing and implementing scalable ETL pipelines and working with structured and unstructured data.
Strong understanding of data modeling, including schema design and performance optimization for analytical and operational use cases.
Excellent communication and collaboration skills, with experience working cross-functionally with product, data science, and operational teams.
A passion for leveraging data to drive innovation.
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