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We are looking for an experienced data engineer to join our team. You will use various methods to transform raw data into useful data systems. For example, youll create algorithms and conduct statistical analysis. Overall, youll strive for efficiency by aligning data systems with business goals. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods. If you are detail-Oriented, with excellent organizational skills and experience in this field, wed like to hear from you. Responsibilities work with project managers and development leads to create testing strategies and approaches for different use cases work with data engineers to develop automated tests, design, monitor and maintain qa reports, kpis & quality trends for the internal data systems create test plans and test cases, create test artifacts analyze and organize raw data build data systems and pipelines evaluate business needs and objectives interpret trends and patterns conduct complex data analysis and report on results prepare data for prescriptive and predictive modeling build algorithms and prototypes combine raw information from different sources explore ways to enhance data quality and reliability identify opportunities for data acquisition develop analytical tools and programs collaborate with data scientists and architects on several projects requirements previous experience as a data engineer and qa knowledge with sql, python, snowflake, aws (s3, airflow) technical expertise with data models, data mining, and segmentation techniques great numerical and analytical skills degree in computer science, it, or similar field a masters is a plus data engineering certification is a plus benefitsthe things we really care about:health insurance, because health comes firstflexible working hoursopen hol