Senior Data Engineer

Job Description

Mandatory - Strong proficiency in Python, SQL, pyspark, Azure Databricks, Azure Data Factory, strong communication skills as part of the Azure Data Engineer Role Added to the Data engineering experience, Must-haves for Palantir are: - Required (hands-on resource who can demonstrate this during the interview) - Data Integration: building pipelines, python transform & source types reference, data connection, codes & repos - Model Integration: models, business logic, templated analysis & reports - Ontology Manager: object types, functions, object views, actions, permissions - Application Building: Workshop, writeback, advanced actions - Security: data foundation, data protection & governance, restricted access & restricted views - AIP Skillset: data engineering skillset + Operating and Support. The data engineers will work in both the Azure environment and Palantir, taking care of operating and supporting the integration between Azure and Palantir and will do Palantir ingestion and Palantir work in the future. Experience Range: 4+ Years Work Mode: Remote Technical Skill sets: - Foundry Certified (Data Engineering) - Foundry Certified (Foundational) - Time Series Data - Equipment & Sensors - O&G Context and Engineering - Ontology Manager - Pipeline Builder - Data Linerage - Object Explorer - Python & Spark (PySpark) - specifically PySpark which is the extension of the big data platform Spark that Foundry uses. - SQL - Mesa (Palantir proprietary language) Soft Skills:- Strong Communication Skills (focus on O&G engineering) ability to engage with multiple Product Manager's and the ability to work independently and voice of authority Show more Show less