• Utilize extract/transform/load ETL technologies using snowflake and other cloud data platforms • Interpret data, analyze results using statistical techniques and provide ongoing reports • Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality • Acquire data from primary or secondary data sources and maintain databases/data systems • Evaluate and optimize data structures • Identify, analyze, and interpret trends or patterns in complex data sets • Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems • Monitor, troubleshoot, and improve pipeline transparency, performance, scalability, and reliability, using Snowflake OpenFlow and related ELT/ETL tools • Ensure AI/ML readiness of data by preparing and maintaining semantic models, ensuring robust data quality, and establishing and enforcing data access • Produce field mapping and translation documentation for use in both manual and scripted migrations • Work within Agile methodology managing tasks and tickets as assigned • Communicate with clients and team members for requirements gathering, clarification, and planning for data conversions • Document work and work processes for use by team members