Senior Data Engineer

Responsibilities Work closely with Subject Matter Experts (SMEs) to design and develop the ontology (data model) and data pipelines. Design, implement, and maintain robust data pipelines and ETL processes. Develop and optimize cloud-based data storage and processing solutions. Collaborate with data analysts and data scientists to understand data requirements and deliver high-quality data solutions. Ensure data integrity and security across all data workflows and storage solutions. Monitor and troubleshoot data pipelines, addressing any issues promptly to ensure the smooth flow of data. End to End data pipeline development – responsible for using Python and Pyspark to perform ETL and derive new datasets necessary for business applications. Minimum Qualifications Bachelor's Degree in Computer Science, Engineering, or related field or related experience. 5+ years of experience as a data engineer. Hands‑on experience with building data pipelines. Strong SQL skills and experience working with large datasets and complex data structures. Proficient in Python, and Pyspark. Experience in Typescript (preferred) or Javascript. Excellent problem‑solving and analytical skills with a strong attention to detail. Preferred Qualifications Experience with Palantir Foundry application development and data visualization tools. Knowledge with commercial visualization tools such as Tableau or Power BI. Experience in Typescript (preferred) or Javascript. Databases – familiarity with common relational database models and proprietary instantiations, such as SAP, Salesforce, etc. Git – knowledge of version control / collaboration workflows and best practices. Agile – familiarity with agile and iterative working methodology and rapid user feedback gathering concepts. UX design – knowledge of best practices and applications. Skills: pipelines, python, etl, data, cloud, design. #J-18808-Ljbffr TheCorporate