Software Data Engineer
Axsome Therapeutics Inc- Full Time
- Senior (5 to 8 years), Junior (1 to 2 years)
Candidates should possess at least 3 years of experience in Python, specifically with building crawling and scraping solutions at scale, along with experience working with APIs, PDF processing techniques such as OCR and Tesseract, and proficiency in data processing and search technologies including ElasticSearch/OpenSearch and NoSQL/SQL databases. Hands-on experience with Apache Airflow and Spark (EMR) or similar distributed systems, and familiarity with AWS or GCP are also required.
The Software Engineer will be responsible for building and designing large-scale, distributed crawling bots and infrastructure, operating in an adversarial environment with low operational overhead. They will develop and maintain data pipelines to extract data from diverse sources like web pages, documents, PDFs, and APIs, preprocess and normalize raw data for downstream applications, build APIs to expose structured data via ElasticSearch/OpenSearch, collaborate with ML/NLP teams to integrate classification models, and automate workflows using Apache Airflow and deploy solutions in Kubernetes on AWS, while optimizing and scaling data pipelines using Spark (EMR) for processing large datasets.
Cloud-based software for auto repair shops
Tekmetric provides software solutions specifically designed for auto repair shops in the United States and Canada. Its main product is a cloud-based Shop Management System (SMS) that helps over 3,000 auto repair shops improve their operations. The software includes features like automated reports, digital vehicle inspections with photos and videos, and trend tracking, which assist shop owners in making informed decisions and enhancing customer trust. Tekmetric differentiates itself from competitors by offering a subscription-based pricing model that charges a flat monthly fee based on the number of shops, making it accessible for businesses of all sizes. The company's goal is to facilitate the transition from paper-based systems to digital solutions, ultimately improving operational efficiency and customer satisfaction in the auto repair industry.