Job Title: Staff Engineer, Data - Snowflake Location: NYC – Hybrid About the Role: As a Staff Engineer, Data on the & Ecosystem team, your mission will be to continually optimize our core targeting capabilities. You will join a collocated, hybrid-remote team of skilled and collaborative software engineers dedicated to the continuous delivery of business value. You will have collective ownership of integrations with various external APIs, large batch data processing pipelines, and entity resolution algorithms. As a technical leader, you will partner closely with Product/Tech leadership, setting the course for the future of the company's technology. Who You Are: You are a veteran software developer specialized in large-scale data engineering. You have a long track record of delivering products and collaborating with Product managers. You help define and evangelize coding best practices and enjoy coaching less experienced team members. Experiences and Capabilities You Bring: You have 10+ years of professional software development experience You have strong computer science fundamentals You have designed and implemented scalable data processing pipelines You have worked with various storage/persistence engines, including relational databases, document databases, key/value stores, etc. You have experience implementing data warehousing architectures, including products like Snowflake, Databricks, Redshift, etc. You are a SQL expert You have experience with distributed computing frameworks like Apache Spark, understanding their strengths and weaknesses You manage AWS resources using infrastructure-as-code You are an excellent verbal and written communicator and are skilled at producing visuals for technical communication. This is a hybrid role. You can work remotely from anywhere on Monday and Friday, and in our New York City office Tuesday through Thursday. #J-18808-Ljbffr ZipRecruiter
Role & Responsibilities : Review and analyze requirements and user stories Collaborate with Product Team and Development Team to develop effective test strategies and acceptance criteria Evaluate the product according to requirements, user stories, usability ...
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