Senior Data Engineer

Work on the Data and Analytics squad to design, develop and enhance data and analytics solutions and pipelines, driving data-driven decision-making processes. Collaborate with scrum masters, product owners and engineering teams to iteratively create data and analytics solutions that meet both the business and technical requirements. Design, develop, and maintain dimensional models and ETL processes to load Data. Work closely with the development team in building innovative, API first, cloud-native solutions using the AWS platform, Markit EDM, Snowflake, Snaplogic, Python, Rest APIs, etc. Implement data quality checks and monitoring processes to ensure data accuracy and consistency. Participate in daily scrum meetings and collaborate with other agile team members. Collaborate, and contribute to creating, and maintaining technical, and testing documentation for new features developed or enhancements made to existing features. Participate in code reviews and champion the adoption of best practices. Support the data environment by releasing new features, resolving issues for users, and working with other technology teams. Employer will accept a Bachelor's degree in Computer Science or related field and 5 years of experience in the job offered or in a Senior Data Engineer - related occupation. Domain expertise in Investments, Asset Management, or Finance. Data modeling, data warehousing, and modern data platform component experience. Proficiency with ETL/ELT data pipelines, patterns for loading Data Warehouses, Lakes. Public cloud data platforms, including AWS and Azure. Knowledge of business intelligence, analytics, and reporting tools including Power BI and Tableau. Experience with Python, SQL, Shell Scripting, and object-oriented programming language(s). Agile development concepts including Test-Driven Design, MVP, iterative and incremental design, and delivery. Telecommuting permitted up to 60% Multiple Positions Available.