Data Engineer Palantir - Consultant
Capgemini
Data Engineer Palantir - Consultant
Job Description
Data Engineer Palantir - Consultant
📋 Job Overview
As a Data Engineer Palantir Consultant at Capgemini Invent, you will design and maintain optimal data pipeline architectures using Palantir Foundry, focusing on enterprise data solutions. The role involves collaborating with business teams to translate requirements into data-centric solutions and implementing modern data environments like Data Lakes and Lakehouses. You will drive process improvements, ensure data governance, and architect cloud-based analytics platforms to support client transformations.
📍 Location: Chennai (ex Madras)
💼 Experience Level: Experienced Professionals
🏢 Business Unit: INVENT
🎯 Key Responsibilities
- Design, create and maintain an optimal data pipeline architecture in Foundry
- Identify, design, and implement internal process improvements in Foundry
- Palantir scheduling jobs for pipeline, monitoring Data pipeline health and configuring health checks and alerts (Data expectations)
- Responsible for architecture topics and solution scenarios in the areas of Cloud Data Analytics Platform, Data Engineering, Analytics, Reporting
- Designing viable architectures based on Palantir, Microsoft Azure, AWS, Snowflake, Google (or similar) and implementing analytics
✅ Required Qualifications
- Experience in DevOps, Infrastructure as Code, DataOps, MLOps
- Data warehousing, data modelling and data integration for enterprise data environments
- Experience with ETL tools primarily Talend and/or any other Data Integrator tools (Open source / proprietary)
- Extensive experience with SQL and SQL scripting (PL/SQL & SQL query tuning and optimization) for relational databases such as PostgreSQL, Oracle, Microsoft SQL Server and MySQL
- Experience on NoSQL like MongoDB and/or document-based databases
- Experience in programming languages like Python, Pyspark, JavaScript, Java/Scala
- Provides data services for enterprise information strategy solutions - Works with business solutions leaders and teams to collect and translate information requirements into data to develop data-centric solutions
- Design and develop modern enterprise data centric solutions (e.g. Palantir, DWH, Data Lake, Data Lakehouse)
- Responsible for designing of data governance solutions
🛠️ Required Skills
- DevOps
- Infrastructure as Code
- DataOps
- MLOps
- Data warehousing
- Data modelling
- Data integration
- ETL tools (Talend, other Data Integrator tools)
- SQL scripting (PL/SQL, query tuning and optimization)
- Relational databases (PostgreSQL, Oracle, Microsoft SQL Server, MySQL)
- NoSQL (MongoDB, document-based databases)
- Programming languages (Python, Pyspark, JavaScript, Java, Scala)
- Palantir Foundry Tools (Ontology, Contour, Object-explorer, Ontology-Manager, Object-editor using Actions/TypeScript, Code workbook, Code Repository, Foundry ML)
- Data pipeline architecture
- Data governance
- Cloud platforms (Microsoft Azure, AWS, Snowflake, Google)
- Analytics and Reporting
🎁 Benefits & Perks
- Flexible work arrangements including remote work and flexible hours to maintain work-life balance
- Career growth programs and diverse professional opportunities
- Valuable certifications in latest technologies such as Generative AI
Locations
- Chennai (ex Madras), India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- DevOpsintermediate
- Infrastructure as Codeintermediate
- DataOpsintermediate
- MLOpsintermediate
- Data warehousingintermediate
- Data modellingintermediate
- Data integrationintermediate
- ETL tools (Talend, other Data Integrator tools)intermediate
- SQL scripting (PL/SQL, query tuning and optimization)intermediate
- Relational databases (PostgreSQL, Oracle, Microsoft SQL Server, MySQL)intermediate
- NoSQL (MongoDB, document-based databases)intermediate
- Programming languages (Python, Pyspark, JavaScript, Java, Scala)intermediate
- Palantir Foundry Tools (Ontology, Contour, Object-explorer, Ontology-Manager, Object-editor using Actions/TypeScript, Code workbook, Code Repository, Foundry ML)intermediate
- Data pipeline architectureintermediate
- Data governanceintermediate
- Cloud platforms (Microsoft Azure, AWS, Snowflake, Google)intermediate
- Analytics and Reportingintermediate
Required Qualifications
- Experience in DevOps, Infrastructure as Code, DataOps, MLOps (experience)
- Data warehousing, data modelling and data integration for enterprise data environments (experience)
- Experience with ETL tools primarily Talend and/or any other Data Integrator tools (Open source / proprietary) (experience)
- Extensive experience with SQL and SQL scripting (PL/SQL & SQL query tuning and optimization) for relational databases such as PostgreSQL, Oracle, Microsoft SQL Server and MySQL (experience)
- Experience on NoSQL like MongoDB and/or document-based databases (experience)
- Experience in programming languages like Python, Pyspark, JavaScript, Java/Scala (experience)
- Provides data services for enterprise information strategy solutions - Works with business solutions leaders and teams to collect and translate information requirements into data to develop data-centric solutions (experience)
- Design and develop modern enterprise data centric solutions (e.g. Palantir, DWH, Data Lake, Data Lakehouse) (experience)
- Responsible for designing of data governance solutions (experience)
Responsibilities
- Design, create and maintain an optimal data pipeline architecture in Foundry
- Identify, design, and implement internal process improvements in Foundry
- Palantir scheduling jobs for pipeline, monitoring Data pipeline health and configuring health checks and alerts (Data expectations)
- Responsible for architecture topics and solution scenarios in the areas of Cloud Data Analytics Platform, Data Engineering, Analytics, Reporting
- Designing viable architectures based on Palantir, Microsoft Azure, AWS, Snowflake, Google (or similar) and implementing analytics
Benefits
- general: Flexible work arrangements including remote work and flexible hours to maintain work-life balance
- general: Career growth programs and diverse professional opportunities
- general: Valuable certifications in latest technologies such as Generative AI
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Data Engineer Palantir - Consultant
Capgemini
Data Engineer Palantir - Consultant
Job Description
Data Engineer Palantir - Consultant
📋 Job Overview
As a Data Engineer Palantir Consultant at Capgemini Invent, you will design and maintain optimal data pipeline architectures using Palantir Foundry, focusing on enterprise data solutions. The role involves collaborating with business teams to translate requirements into data-centric solutions and implementing modern data environments like Data Lakes and Lakehouses. You will drive process improvements, ensure data governance, and architect cloud-based analytics platforms to support client transformations.
📍 Location: Chennai (ex Madras)
💼 Experience Level: Experienced Professionals
🏢 Business Unit: INVENT
🎯 Key Responsibilities
- Design, create and maintain an optimal data pipeline architecture in Foundry
- Identify, design, and implement internal process improvements in Foundry
- Palantir scheduling jobs for pipeline, monitoring Data pipeline health and configuring health checks and alerts (Data expectations)
- Responsible for architecture topics and solution scenarios in the areas of Cloud Data Analytics Platform, Data Engineering, Analytics, Reporting
- Designing viable architectures based on Palantir, Microsoft Azure, AWS, Snowflake, Google (or similar) and implementing analytics
✅ Required Qualifications
- Experience in DevOps, Infrastructure as Code, DataOps, MLOps
- Data warehousing, data modelling and data integration for enterprise data environments
- Experience with ETL tools primarily Talend and/or any other Data Integrator tools (Open source / proprietary)
- Extensive experience with SQL and SQL scripting (PL/SQL & SQL query tuning and optimization) for relational databases such as PostgreSQL, Oracle, Microsoft SQL Server and MySQL
- Experience on NoSQL like MongoDB and/or document-based databases
- Experience in programming languages like Python, Pyspark, JavaScript, Java/Scala
- Provides data services for enterprise information strategy solutions - Works with business solutions leaders and teams to collect and translate information requirements into data to develop data-centric solutions
- Design and develop modern enterprise data centric solutions (e.g. Palantir, DWH, Data Lake, Data Lakehouse)
- Responsible for designing of data governance solutions
🛠️ Required Skills
- DevOps
- Infrastructure as Code
- DataOps
- MLOps
- Data warehousing
- Data modelling
- Data integration
- ETL tools (Talend, other Data Integrator tools)
- SQL scripting (PL/SQL, query tuning and optimization)
- Relational databases (PostgreSQL, Oracle, Microsoft SQL Server, MySQL)
- NoSQL (MongoDB, document-based databases)
- Programming languages (Python, Pyspark, JavaScript, Java, Scala)
- Palantir Foundry Tools (Ontology, Contour, Object-explorer, Ontology-Manager, Object-editor using Actions/TypeScript, Code workbook, Code Repository, Foundry ML)
- Data pipeline architecture
- Data governance
- Cloud platforms (Microsoft Azure, AWS, Snowflake, Google)
- Analytics and Reporting
🎁 Benefits & Perks
- Flexible work arrangements including remote work and flexible hours to maintain work-life balance
- Career growth programs and diverse professional opportunities
- Valuable certifications in latest technologies such as Generative AI
Locations
- Chennai (ex Madras), India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- DevOpsintermediate
- Infrastructure as Codeintermediate
- DataOpsintermediate
- MLOpsintermediate
- Data warehousingintermediate
- Data modellingintermediate
- Data integrationintermediate
- ETL tools (Talend, other Data Integrator tools)intermediate
- SQL scripting (PL/SQL, query tuning and optimization)intermediate
- Relational databases (PostgreSQL, Oracle, Microsoft SQL Server, MySQL)intermediate
- NoSQL (MongoDB, document-based databases)intermediate
- Programming languages (Python, Pyspark, JavaScript, Java, Scala)intermediate
- Palantir Foundry Tools (Ontology, Contour, Object-explorer, Ontology-Manager, Object-editor using Actions/TypeScript, Code workbook, Code Repository, Foundry ML)intermediate
- Data pipeline architectureintermediate
- Data governanceintermediate
- Cloud platforms (Microsoft Azure, AWS, Snowflake, Google)intermediate
- Analytics and Reportingintermediate
Required Qualifications
- Experience in DevOps, Infrastructure as Code, DataOps, MLOps (experience)
- Data warehousing, data modelling and data integration for enterprise data environments (experience)
- Experience with ETL tools primarily Talend and/or any other Data Integrator tools (Open source / proprietary) (experience)
- Extensive experience with SQL and SQL scripting (PL/SQL & SQL query tuning and optimization) for relational databases such as PostgreSQL, Oracle, Microsoft SQL Server and MySQL (experience)
- Experience on NoSQL like MongoDB and/or document-based databases (experience)
- Experience in programming languages like Python, Pyspark, JavaScript, Java/Scala (experience)
- Provides data services for enterprise information strategy solutions - Works with business solutions leaders and teams to collect and translate information requirements into data to develop data-centric solutions (experience)
- Design and develop modern enterprise data centric solutions (e.g. Palantir, DWH, Data Lake, Data Lakehouse) (experience)
- Responsible for designing of data governance solutions (experience)
Responsibilities
- Design, create and maintain an optimal data pipeline architecture in Foundry
- Identify, design, and implement internal process improvements in Foundry
- Palantir scheduling jobs for pipeline, monitoring Data pipeline health and configuring health checks and alerts (Data expectations)
- Responsible for architecture topics and solution scenarios in the areas of Cloud Data Analytics Platform, Data Engineering, Analytics, Reporting
- Designing viable architectures based on Palantir, Microsoft Azure, AWS, Snowflake, Google (or similar) and implementing analytics
Benefits
- general: Flexible work arrangements including remote work and flexible hours to maintain work-life balance
- general: Career growth programs and diverse professional opportunities
- general: Valuable certifications in latest technologies such as Generative AI
Tags & Categories
Answer 10 quick questions to check your fit for Data Engineer Palantir - Consultant @ Capgemini.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs