Job DescriptionA large financial firm is looking for backend data engineers to join their Technology Risk Division local to New York (Hybrid 3X/Week). the Technology Risk Division has regulatory driven initiatives affecting the firms risk application. The team is globally distributed, and you will be one of 9 engineers dedicated to project. We are looking for engineers that are comfortable working in a big data environment with skills in Python and Sybase, however much of the technology is proprietary to the firm and will require you to learn on the job. In this role, majority of the work focuses on overall data quality and the flow of data throughout the firm to ensure data is shared efficiently. There are multiple work streams that you will have the opportunity to work on including, but not limited to the following:1. Build out new data pipelines2. Enhance existing data pipelines Implementing controls and accuracy checks to build reporting on top3. Distribution of data to other divisions within the firmWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .Skills and Requirements-3-7 years of experience as a Backend Data Engineer-Expertise working on ETL processes and end to end date pipeline integration-Programming language (Python willingness to learn proprietary language Slang)-Experience improving data quality (implanting controls and data validation)-Database technologies - Snowflake and Sybase IQ -Prior experience or willingness to learn Slang Infrastructure (Proprietary programming language)-Prior experience or willingness to learn Alloy for business modeling language nullWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.
