As a Senior Data Engineer at Converse, Inc., you will design and build reusable components, frameworks, and libraries at scale to support analytics products. You will collaborate with business and technology stakeholders to design and implement product features, identify and solve issues concerning data management to improve data quality, and clean, prepare, and optimize data for ingestion and consumption. Additionally, you will collaborate on the implementation of new data management projects and restructure the current data architecture. Your role will also involve implementing automated workflows and routines using workflow scheduling tools, building continuous integration, test-driven development, and production deployment frameworks. You will review design, code, test plans, and dataset implementation performed by other data engineers to maintain data engineering standards, analyze and profile data for designing scalable solutions, troubleshoot data issues, and perform root cause analysis to proactively resolve product and operational issues. You will develop architecture and design patterns to process and store high volume data sets and participate in an Agile/Scrum methodology to deliver high-quality software releases through Sprints.