• Design, build, and maintain data pipelines that transform and load disparate data sources into unified data sets for analysis. • Collaborate with data scientists and analysts to deliver reliable data solutions tailored to their needs. • Ensure data quality and integrity by implementing data validation and cleansing techniques. • Optimize performance of data storage and processes to enhance overall system efficiency. • Create detailed documentation of data pipelines, data processing techniques, and data models. • Stay current with industry best practices and emerging technologies in data engineering. Requirements • Bachelor’s degree in Computer Science, Data Science, or a related discipline. • 3+ years of experience as a Data Engineer or in a similar role. • Proficient in programming languages such as Python or Java and experience with ETL tools. • Strong knowledge of SQL and experience with relational and NoSQL databases. • Familiarity with cloud services and big data technologies (AWS, Azure, Hadoop). • Excellent problem-solving skills and ability to work effectively in a team environment.