Data Engineer V

• 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.

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achelor’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. * 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