Experience
1 - 5 yrs
Job Location
Hyderabad, India
Vacancy
1
Designation
Software Engineer
Job Type
ONSITE
Job Description
Skills: Digital : PySpark~Palantir Core
Experience Required: 6-8
Location : Hyderabad
Role Descriptions: 1.Palantir Platform ExpertiseoWorking with Foundry Ontology| pipelines| and modular applications.oImplementing End to End data Solutions in Palantir sourcing data from 2.Programming & Scripting (Python and PySpark)oData Processing & Automation: Ability to clean| transform| and process large datasets efficiently. oIntegration with Palantir Foundry: Build custom Python functions and libraries to extend Foundrys capabilities. oPipeline Development: Write modular| reusable code for ETL workflows and data transformations. oPerformance Optimization: Use Python libraries like Pandas| NumPy| and PySpark for scalable data operations. oFamiliarity with SQL for querying and data modeling. Good to have3.Data Engineering FundamentalsoBuilding ETL pipelines for ingestion and transformation.oDesigning data models and optimizing workflows.oHandling structured and unstructured data.4.Big Data & Distributed SystemsoExperience with Spark (PySpark) for scalable data processing.oUnderstanding of parallel computing and performance tuning.
Essential Skills: 1.Palantir Platform ExpertiseoWorking with Foundry Ontology| pipelines| and modular applications.oImplementing End to End data Solutions in Palantir sourcing data from 2.Programming & Scripting (Python and PySpark)oData Processing & Automation: Ability to clean| transform| and process large datasets efficiently. oIntegration with Palantir Foundry: Build custom Python functions and libraries to extend Foundrys capabilities. oPipeline Development: Write modular| reusable code for ETL workflows and data transformations. oPerformance Optimization: Use Python libraries like Pandas| NumPy| and PySpark for scalable data operations. oFamiliarity with SQL for querying and data modeling. Good to have3.Data Engineering FundamentalsoBuilding ETL pipelines for ingestion and transformation.oDesigning data models and optimizing workflows.oHandling structured and unstructured data.4.Big Data & Distributed SystemsoExperience with Spark (PySpark) for scalable data processing.oUnderstanding of parallel computing and performance tuning Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Experience Required: 6-8
Location : Hyderabad
Role Descriptions: 1.Palantir Platform ExpertiseoWorking with Foundry Ontology| pipelines| and modular applications.oImplementing End to End data Solutions in Palantir sourcing data from 2.Programming & Scripting (Python and PySpark)oData Processing & Automation: Ability to clean| transform| and process large datasets efficiently. oIntegration with Palantir Foundry: Build custom Python functions and libraries to extend Foundrys capabilities. oPipeline Development: Write modular| reusable code for ETL workflows and data transformations. oPerformance Optimization: Use Python libraries like Pandas| NumPy| and PySpark for scalable data operations. oFamiliarity with SQL for querying and data modeling. Good to have3.Data Engineering FundamentalsoBuilding ETL pipelines for ingestion and transformation.oDesigning data models and optimizing workflows.oHandling structured and unstructured data.4.Big Data & Distributed SystemsoExperience with Spark (PySpark) for scalable data processing.oUnderstanding of parallel computing and performance tuning.
Essential Skills: 1.Palantir Platform ExpertiseoWorking with Foundry Ontology| pipelines| and modular applications.oImplementing End to End data Solutions in Palantir sourcing data from 2.Programming & Scripting (Python and PySpark)oData Processing & Automation: Ability to clean| transform| and process large datasets efficiently. oIntegration with Palantir Foundry: Build custom Python functions and libraries to extend Foundrys capabilities. oPipeline Development: Write modular| reusable code for ETL workflows and data transformations. oPerformance Optimization: Use Python libraries like Pandas| NumPy| and PySpark for scalable data operations. oFamiliarity with SQL for querying and data modeling. Good to have3.Data Engineering FundamentalsoBuilding ETL pipelines for ingestion and transformation.oDesigning data models and optimizing workflows.oHandling structured and unstructured data.4.Big Data & Distributed SystemsoExperience with Spark (PySpark) for scalable data processing.oUnderstanding of parallel computing and performance tuning Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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