In a world with deep supply chain disruptions, true omni-channel networks, and sustainability-minded consumers, there is a need for next-generation inventory systems. Syrup is building an AI-powered predictive software for inventory decisions in commerce to empower merchandising and planning teams with allocation, ordering, and planning recommendations, aiming to make commerce no longer a wasteful industry.
Requirements
- Information Architecture, Data Engineering, and Data Warehousing, including proficiency in maintaining data quality, data versioning, and data documentation.
- Database architecture and data modeling, optimizing index performance, handling large time series datasets, working with stored procedures, star schema, snowflake schema, dimension tables, and fact tables.
- In-depth knowledge of PostgreSQL and its optimization techniques.
- Experience in optimizing data models and access patterns for modern warehouse and orchestration platforms such as Snowflake, Redshift, Databricks, Spark, DBT, Apache Airflow, and Prefect.
- Proficiency in Python, Pandas, and working with columnar formats like parquet and avro.
- Proven expertise in integrating large-scale external datasets, including tabular, text, and image data, through APIs, FTP, S3, or web scraping, building reliable and repeatable pipelines.
- Strong background in cloud deployment, infrastructure automation, and CI/CD, particularly with AWS S3, EC2, Lambda, and the ability to seamlessly integrate cloud-based infrastructure into the development lifecycle.
Responsibilities
- Lead the development and implementation of our state-of-the-art data ingestion and processing pipeline.
- Partner with product managers, data scientists, and other engineers to deliver an accurate and robust data infrastructure managing first and second-party data.
- Collaborate on a predominantly greenfield project, leveraging your expertise to drive innovation and deliver impactful solutions.
- Contribute to a fast-growing startup, where your ideas and contributions will have a direct and meaningful impact.
- Be part of a dynamic and diverse team that values collaboration, creativity, and pushing the boundaries of what's possible.
- Play a pivotal role in building intuitive and predictive software that will redefine decision-making processes in the industry.
Other
- Proven experience in a fast-paced startup environment, successfully building new systems from prototype to production.
- Collaborative mindset, able to work with customers, partners, Customer Success, Product and Analytics teams.
- Demonstrated pragmatic technical judgment in selecting and adapting data processing infrastructure, with a focus on scalability and building a robust data pipeline.
- Ability to start small and incrementally extend application functionality while improving scalability and performance.
- Strong commitment to operational excellence, ensuring the smooth operation of an always-on, always-shipping SAAS product.
