Job
Description
The Data & Analytics team at Pure Storage is seeking a Senior Data Engineer - a hands-on and motivated data wizard who is passionate about unleashing the power of data to help us inform decision making, achieve our strategic objectives, and hire and retain world-class talent As an integral part of the team, the Senior Data Engineer will leverage their expert level technical skills to turn data into knowledge and drive business success The ideal candidate will play a key role in designing and developing the critical data infrastructure to get the data easily in the DNA warehouse He/she must be able to develop ETL/ELT pipelines, migrate data across systems, and utilize advanced SQL skills to transform and troubleshoot data In addition, the candidate should be able to use Python to quickly develop automations, perform analyses Responsibilities: Design, develop, and support our Data infrastructure utilizing various technologies to process large volumes of data Actively participate in our one end-to-end Data Warehouse (DWH) building and implementation Serve as the team expert on data infrastructure, standardized reporting ,helping to evaluate alternatives, make design decisions, and implement end-to-end solutions by providing data to the stakeholders Build ETL (or ELT) data pipelines to transform, aggregate, and structure data from the data lake and prepare it for analysis Design data models that define how the tables, columns, and data elements from different sources are connected and stored, based on our reporting and analytics requirements Develop Snowflake views that can be used as a data source in Tableau Partner with analysts and stakeholders to understand business requirements and develop efficient, highly performant, scalable solutions Conduct data wrangling/cleaning to transform raw data into a more usable format Collaborate closely with other team members to comprehend both business and technical requirements, translating them into efficient data integration designs and deliverables Troubleshoot data issues and conduct root cause analysis when reporting data is in question Requirements 7+ years relevant experience with Data Migrations/ETL Development, Data Warehousing, Data Transformations, and Data Troubleshooting on the backend preferably with a globally recognized organization Expert level SQL script writing skills Strong understanding of data modelling fundamentals In-depth knowledge of data warehousing concepts Bachelor s/Advanced degree in Computer Science, Engineering, Information Technology, Information Systems, or similar field of study
