MethodHub Consulting Inc
Azure Data Engineer Palantir
MethodHub Consulting Inc, Phoenix, Arizona, United States, 85223
Overview
Relevant Work Experience 5+ years Status Full Time Location Infosys locations (Remote) 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, the must have 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 Azure environment and Palantir, taking care of operating and support of the integration between Azure and Palantir and will do Palantir ingestion and Palantir work in the future 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 enginnering) abilty to engage with multiple Product Manager's and the ability to work independenty and voice of authority
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Relevant Work Experience 5+ years Status Full Time Location Infosys locations (Remote) 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, the must have 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 Azure environment and Palantir, taking care of operating and support of the integration between Azure and Palantir and will do Palantir ingestion and Palantir work in the future 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 enginnering) abilty to engage with multiple Product Manager's and the ability to work independenty and voice of authority
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