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We are seeking a highly skilled and versatile Software Developer with expertise in cloud-based data and analytics platforms such as Databricks, Snowflake, Palantir Foundry, and Neo4J within Azure and AWS environments. The ideal candidate will have a strong foundation in programming, data integration, ontology design, and analytical workflows, along with excellent problem-solving and communication skills.Key Responsibilities:Develop and maintain scalable data pipelines and transformation scripts using Python, SQL, Java, and RDesign and implement complex ontologies within platforms like Palantir Foundry, including object types, link types, and kinetic elementsBuild and optimize analytical workflows using tools like Pipeline Builder, Workshop, and visualization platforms such as Contour and QuiverIntegrate disparate data sources and systems via robust ETL processesModel data to support structured and semi-structured use cases within cloud ecosystems (AWS, Azure)Implement and manage data analytics solutions in platforms such as Snowflake, Databricks, and Neo4JConduct statistical analyses, predictive modeling, and data mining to support business decisionsCollaborate with cross-functional teams to understand business needs and translate them into technical solutionsEffectively communicate insights, findings, and technical recommendations to both technical and non-technical stakeholdersManage and prioritize tasks across multiple projects in an agile or hybrid delivery environmentTechnical Skills:Languages & Tools:SQL (Advanced querying and optimization)Java (Integrations and backend logic)R (Statistical analysis and visualization)Platforms & Frameworks:Palantir Foundry (Ontology design, integration, analytics)Databricks, Snowflake (Cloud data warehousing and processing)Neo4J (Graph data modeling and querying)Azure, AWS (Cloud platforms and data services)ETL and data ingestion pipelinesOntology and schema modelingWorkflow optimization and versioningData visualization and dashboardingPreferred Qualifications:Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field3–7 years of experience in software development or data engineering rolesExperience working with regulated data environments is a plusJ-18808-Ljbffr