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Sr. Data Engineer
3 months ago
At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We're working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our diverse team of problem solvers as we add new chapters to the history of spaceflight This role is part of Enterprise Technology (ET), where we're developing the digital infrastructure needed to build the road to space, with an emphasis on digital capabilities required to advance Blue Origin's mission. Enterprise Technology is the center of excellence for digital technology at Blue Origin, providing oversight and governance to align technology and business strategies. Blue is a leading aerospace manufacturing company dedicated to innovation, excellence, and cutting-edge technology. We are seeking a highly skilled Senior Data Engineer with preferable experience in Palantir Foundry or similar data platforms to join our dynamic team. This role is crucial in advancing our data capabilities for aerospace manufacturing, enabling us to drive innovation and efficiency across our organization. We are looking for an experienced Senior Data Engineer with experience in Palantir Foundry similar data platforms to lead our efforts in ingesting, curating, and creating an ontology for aerospace manufacturing data. The successful candidate will play a critical role in establishing and maintaining data pipelines, ingestion templates, and low code ETL processes to ensure seamless data integration, federation, and self-service data consumption within the organization. Key Responsibilities: Data Ingestion and Ontology Creation: Design and develop data ingestion templates and ETL processes within Palantir Foundry. Create and maintain an ontology structure tailored to aerospace manufacturing data requirements. Template Reusability: Build and promote reusable data ingestion and ETL templates to facilitate data publishing and federation across teams in the enterprise. Application Development and Support: Collaborate with domain consumers to build domain-specific data applications using Palantir Foundry tools such as Vertex, Workshop, and Object Explorer. Data Reconciliation: Implement solutions for data reconciliation with various data sources to ensure data accuracy and consistency. Monitoring and Performance: Develop and maintain monitoring solutions to track data pipeline statistics and ensure data quality. Monitor Palantir Foundry platform usage and optimize as needed. Data Management Controls: Solution and implement data management controls including data quality, role based access, data classification & data archiving as part of data ingestion and building the Ontology. DataOps: Implement DataOps best practices to streamline data pipeline deployment and management. Develop & maintain monitoring solution to track data pipeline statistics and enable proactive issue detection and resolution. Mentorship and Knowledge Sharing: Provide mentorship to junior data engineers and assist in their skill development. Decompose complex data integration problems into known patterns for execution by junior team members. Technology Stack Experience Programming Languages - Python, PySpark, Java, SQL Databases - Postgres, Oracle Cloud Services - AWS, Azure, GCP (storage, compute, databases, catalogs, streaming, replication, Queueing & Notification, Logging & Monitoring service) - any one of the cloud platforms is good but AWS is preferred. Big Data Frameworks Metadata Catalogs - DataHub, Informatica, Collibra (experience in any one is good) Data Quality Platforms - Anomolo, Informatica, BigEye (experience in any one is good) Event Platforms - Kafka, MSK Data Platforms - Palantir Foundry, Databricks, Snowflake (experience i
