What you'll be doing:

📍Define, build, and deliver data pipelining architecture. This includes ingesting data from different data sources and creating aggregate views. 📍Work with stakeholders to assemble large, complex data sets for ready business consumption. 📍Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. 📍Ensure that Aptos Data Warehouse has high-quality, high-trust data the company can drive decisions from. Build a core data model that serves as the foundation of all of the use cases. 📍Manage data scalability, partitioning, growth, and availability utilizing cloud data warehousing technologies like Bigquery. 📍Assist analytics and data scientist team members in building and optimizing our product into an innovative industry leader.

What we’re looking for:

📍3+ years of relevant experience 📍A degree in a technical field such as Finance, Data Science, Statistics, Computer Science, or similar field 📍Strong data wrangling and SQL skills. You have a track record of optimizing large pipelines to run very efficiently 📍Experience in at least one programming language (e.g. Python) 📍Experience manipulating large amounts of structured and unstructured data through pipeline development tools like Airflow 📍Be able to proactively manage prioritization of work and deliver work with great quality and influence the broader team in creating leverage 📍Hands-on experience building dashboards with a data visualization tool such as Tableau, Looker, Data Studio, etc.