Palantir Engineer – Job Description
We are seeking a highly skilled Palantir Engineer with strong hands-on experience in the Palantir Foundry platform to design, develop, and support enterprise data and analytics solutions. The ideal candidate will have expertise in building scalable data pipelines, developing interactive dashboards, and managing Foundry platform operations and integrations.
Key Responsibilities
Design, develop, and maintain interactive dashboards and analytical applications using Palantir Foundry components including Ontology, Workshop, Slate, and Contour.
Build and optimize data pipelines, transformations, and data models to support enterprise analytics and operational use cases.
Develop scalable and reusable Foundry data workflows and business logic.
Create and manage Ontology objects, relationships, actions, and operational workflows.
Build user-friendly applications and dashboards using Workshop and Slate for business stakeholders.
Configure and maintain Contour-based reporting and analytical views.
Manage user access, permissions, and security roles within Foundry environments.
Perform Foundry branching activities and support code migration using Marketplace and deployment workflows.
Configure and maintain data connections, syncs, and external system integrations.
Monitor pipeline performance, troubleshoot failures, and optimize data processing jobs.
Collaborate with business users, data engineers, architects, and product owners to gather requirements and deliver scalable solutions.
Support CI/CD processes, testing, release management, and platform governance best practices.
Provide production support and ongoing enhancements for Palantir applications and data products.
Required Qualifications
Strong hands-on experience with Palantir Foundry is mandatory.
Expertise with Foundry modules including:
Ontology
Workshop
Slate
Contour
Experience building and managing:
Data pipelines
Data transformations
Data modelling solutions
Strong understanding of:
Foundry branching
Marketplace for code migration
Data connections and sync creation
Pipeline orchestration and monitoring
User access management and security controls
Proficiency with SQL, Python, and data engineering concepts.
Experience integrating enterprise systems and APIs with Foundry.
Strong analytical, troubleshooting, and problem-solving skills.
Excellent communication and stakeholder collaboration abilities.
Preferred Qualifications
Knowledge of DevOps and CI/CD practices.
Familiarity with enterprise analytics and operational workflow automation.
Experience working in Agile delivery environments.
Nice to Have
Experience with data visualization and reporting tools.
Exposure to AI/ML workflows within Foundry.
Knowledge of enterprise governance and data security standards.
Responsibilities
Palantir Engineer – Job Description
We are seeking a highly skilled Palantir Engineer with strong hands-on experience in the Palantir Foundry platform to design, develop, and support enterprise data and analytics solutions. The ideal candidate will have expertise in building scalable data pipelines, developing interactive dashboards, and managing Foundry platform operations and integrations.
Key Responsibilities
Design, develop, and maintain interactive dashboards and analytical applications using Palantir Foundry components including Ontology, Workshop, Slate, and Contour.
Build and optimize data pipelines, transformations, and data models to support enterprise analytics and operational use cases.
Develop scalable and reusable Foundry data workflows and business logic.
Create and manage Ontology objects, relationships, actions, and operational workflows.
Build user-friendly applications and dashboards using Workshop and Slate for business stakeholders.
Configure and maintain Contour-based reporting and analytical views.
Manage user access, permissions, and security roles within Foundry environments.
Perform Foundry branching activities and support code migration using Marketplace and deployment workflows.
Configure and maintain data connections, syncs, and external system integrations.
Monitor pipeline performance, troubleshoot failures, and optimize data processing jobs.
Collaborate with business users, data engineers, architects, and product owners to gather requirements and deliver scalable solutions.
Support CI/CD processes, testing, release management, and platform governance best practices.
Provide production support and ongoing enhancements for Palantir applications and data products.
Required Qualifications
Strong hands-on experience with Palantir Foundry is mandatory.
Expertise with Foundry modules including:
Ontology
Workshop
Slate
Contour
Experience building and managing:
Data pipelines
Data transformations
Data modelling solutions
Strong understanding of:
Foundry branching
Marketplace for code migration
Data connections and sync creation
Pipeline orchestration and monitoring
User access management and security controls
Proficiency with SQL, Python, and data engineering concepts.
Experience integrating enterprise systems and APIs with Foundry.
Strong analytical, troubleshooting, and problem-solving skills.
Excellent communication and stakeholder collaboration abilities.
Preferred Qualifications
Knowledge of DevOps and CI/CD practices.
Familiarity with enterprise analytics and operational workflow automation.
Experience working in Agile delivery environments.
Nice to Have
Experience with data visualization and reporting tools.
Exposure to AI/ML workflows within Foundry.
Knowledge of enterprise governance and data security standards.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Key Responsibilities
Support Celonis implementation and onboarding
Work with vendor teams to build data models, dashboards, and process insights
Enable integration of data across multiple enterprise systems (SAP and non-SAP)
Prepare and structure data for Celonis ingestion
Translate business requirements into Celonis-based insights for EUDR compliance
Support identification of data required for Due Diligence Statement generation
Act as primary contact for Celonis-related topics from DTICI
Ensure knowledge transfer and internal capability build-up
Required Skills
Must-Have:
Hands-on experience with Celonis (Process Mining / EMS)
Strong experience in data integration and data modeling
Experience working with SAP and non-SAP enterprise systems
Ability to convert business requirements into technical/data solutions
Good-to-Have:
Experience in compliance or regulatory programs
Knowledge of supply chain / customs / import-export processes
Exposure to EUDR / sustainability initiatives
Responsibilities
Key Responsibilities
Support Celonis implementation and onboarding
Work with vendor teams to build data models, dashboards, and process insights
Enable integration of data across multiple enterprise systems (SAP and non-SAP)
Prepare and structure data for Celonis ingestion
Translate business requirements into Celonis-based insights for EUDR compliance
Support identification of data required for Due Diligence Statement generation
Act as primary contact for Celonis-related topics from DTICI
Ensure knowledge transfer and internal capability build-up
Required Skills
Must-Have:
Hands-on experience with Celonis (Process Mining / EMS)
Strong experience in data integration and data modeling
Experience working with SAP and non-SAP enterprise systems
Ability to convert business requirements into technical/data solutions
Good-to-Have:
Experience in compliance or regulatory programs
Knowledge of supply chain / customs / import-export processes
Exposure to EUDR / sustainability initiatives
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Accenture is seeking a skilled Unix Shell Scripting Developer with strong experience in Linux/Unix environments and automation scripting. The candidate will develop, maintain, and optimize shell scripts for application operations, automation, and production support activities in enterprise environments. Primary skills required include expertise in Unix/Linux operating systems, Bash/Korn Shell scripting, job scheduling tools (Cron, Autosys, Control-M), and production support experience. Good-to-have skills include Python scripting, cloud platforms (AWS/Azure), monitoring tools (Splunk, AppDynamics, Dynatrace), and CI/CD pipeline knowledge. When sourcing candidates, prioritize those with proven expertise in shell scripting and production support, strong troubleshooting abilities for root cause analysis, and experience collaborating across development, infrastructure, and support teams.
Responsibilities
Accenture is seeking a skilled Unix Shell Scripting Developer with strong experience in Linux/Unix environments and automation scripting. The candidate will develop, maintain, and optimize shell scripts for application operations, automation, and production support activities in enterprise environments. Primary skills required include expertise in Unix/Linux operating systems, Bash/Korn Shell scripting, job scheduling tools (Cron, Autosys, Control-M), and production support experience. Good-to-have skills include Python scripting, cloud platforms (AWS/Azure), monitoring tools (Splunk, AppDynamics, Dynatrace), and CI/CD pipeline knowledge. When sourcing candidates, prioritize those with proven expertise in shell scripting and production support, strong troubleshooting abilities for root cause analysis, and experience collaborating across development, infrastructure, and support teams.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
1. Overall up to 5 years of working experience, preferably in SQL, ETL (Talend)
2. Must have 2+ years of experience in Talend Enterprise/Open studio and related tools like Talend API, Talend Data Catalog, TMC, TAC etc.
3. Must have understanding of database design, data modelling
4. Hands-on experience in any of the coding language (Java or Python etc.)
Secondary Skillset/Good to have:
1. 1+ years of experience into MS power Apps/Power Automate
2. Basic experience using Power Apps (Canvas / Model-Driven).
3. Understanding of Power Automate workflows.
4. Familiarity with Microsoft Dataverse, SharePoint
Responsibilities
1. Overall up to 5 years of working experience, preferably in SQL, ETL (Talend)
2. Must have 2+ years of experience in Talend Enterprise/Open studio and related tools like Talend API, Talend Data Catalog, TMC, TAC etc.
3. Must have understanding of database design, data modelling
4. Hands-on experience in any of the coding language (Java or Python etc.)
Secondary Skillset/Good to have:
1. 1+ years of experience into MS power Apps/Power Automate
2. Basic experience using Power Apps (Canvas / Model-Driven).
3. Understanding of Power Automate workflows.
4. Familiarity with Microsoft Dataverse, SharePoint
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
This role focuses on creating efficient data pipelines and ensuring data integrity throughout its lifecycle, with responsibilities for implementing ETL processes and facilitating system migrations. The position requires an SME-level professional to lead a team, manage decisions, and collaborate across multiple teams to align data strategies and optimize workflows. Key requirements include proficiency in AppDynamics Administration, strong understanding of data pipeline architecture and ETL processes, and the ability to analyze system metrics and troubleshoot performance issues. The ideal candidate should demonstrate leadership capabilities to support junior team members, resolve complex data-related challenges, and foster a collaborative environment. When sourcing, look for candidates with proven AppDynamics expertise, experience managing technical teams, and a track record of implementing successful data integration solutions across multiple platforms.
Responsibilities
This role focuses on creating efficient data pipelines and ensuring data integrity throughout its lifecycle, with responsibilities for implementing ETL processes and facilitating system migrations. The position requires an SME-level professional to lead a team, manage decisions, and collaborate across multiple teams to align data strategies and optimize workflows. Key requirements include proficiency in AppDynamics Administration, strong understanding of data pipeline architecture and ETL processes, and the ability to analyze system metrics and troubleshoot performance issues. The ideal candidate should demonstrate leadership capabilities to support junior team members, resolve complex data-related challenges, and foster a collaborative environment. When sourcing, look for candidates with proven AppDynamics expertise, experience managing technical teams, and a track record of implementing successful data integration solutions across multiple platforms.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Deployment Analyst-
The Deployment Analyst is responsible for coordinating| planning| and executing software deployments across development| testing| and production environments.
This role ensures that releases are delivered smoothly| safely| and in alignment with change| risk| and governance standards.
The ideal candidate has strong technical awareness| excellent coordination skills| and the ability to work closely with engineering| product| and operations teams to ensure high quality releases.
Key Responsibilities-
Deployment Planning ExecutionCoordinate and schedule application deployments across multiple environments (Dev| QA| UAT| Production).
Prepare deployment plans| runbooks| and checklists to ensure consistent| error free releases.
Execute deployments using CICD pipelines| automation tools| and approved operational processes.
Validate successful deployments through post release checks| monitoring| and system health reviews.
Environment Release ManagementSupport the maintenance and readiness of testing and production environments.
Work with engineering teams to troubleshoot deployment failures and environment issues.
Track environment changes| configurations| and dependencies to avoid deployment conflicts.
Ensure deployment activities align with release calendars and freeze windows.
Governance| Risk ComplianceWork closely with Change Management to ensure releases follow governance and approval processes.
Maintain detailed documentation of changes| deployments| and post-implementation results.
Ensure compliance with operational| regulatory| and audit standards (especially in regulated industries like financial services).
Stakeholder CoordinationLiaise between engineering teams| Release Managers| Product Owners| and Operations to coordinate smooth release cycles.
Provide clear communication on deployment progress| risks| issues| and remediation plans.
Support incident| problem| and root cause analysis for deployment-related issues.
Continuous ImprovementContribute to the enhancement of CICD pipelines| deployment automation| and release processes.
Identify repeated issues and work with engineering teams to reduce manual activities through automation.
Recommend improvements to deployment strategies| tooling| and documentation.
Required Skills
Experience in software deployment| release management| DevOps| or environment coordination roles.
Familiarity with CICD tools (Azure DevOps| Jenkins| GitHub Actions| GitLab| etc.).
Understanding of software development lifecycle (SDLC) and Agile methodologies.
Strong analytical| problem-solving| and troubleshooting skills.
Ability to manage multiple deployments in parallel and coordinate with cross-functional teams.
Excellent communication and documentation skills.
Understanding of application configuration| versioning| change approval| and release governance.
Preferred Qualifications
Experience in financial services| bank
Responsibilities
The Deployment Analyst is responsible for coordinating| planning| and executing software deployments across development| testing| and production environments.
This role ensures that releases are delivered smoothly| safely| and in alignment with change| risk| and governance standards.
The ideal candidate has strong technical awareness| excellent coordination skills| and the ability to work closely with engineering| product| and operations teams to ensure high quality releases.
Key Responsibilities-
Deployment Planning ExecutionCoordinate and schedule application deployments across multiple environments (Dev| QA| UAT| Production).
Prepare deployment plans| runbooks| and checklists to ensure consistent| error free releases.
Execute deployments using CICD pipelines| automation tools| and approved operational processes.
Validate successful deployments through post release checks| monitoring| and system health reviews.
Environment Release ManagementSupport the maintenance and readiness of testing and production environments.
Work with engineering teams to troubleshoot deployment failures and environment issues.
Track environment changes| configurations| and dependencies to avoid deployment conflicts.
Ensure deployment activities align with release calendars and freeze windows.
Governance| Risk ComplianceWork closely with Change Management to ensure releases follow governance and approval processes.
Maintain detailed documentation of changes| deployments| and post-implementation results.
Ensure compliance with operational| regulatory| and audit standards (especially in regulated industries like financial services).
Stakeholder CoordinationLiaise between engineering teams| Release Managers| Product Owners| and Operations to coordinate smooth release cycles.
Provide clear communication on deployment progress| risks| issues| and remediation plans.
Support incident| problem| and root cause analysis for deployment-related issues.
Continuous ImprovementContribute to the enhancement of CICD pipelines| deployment automation| and release processes.
Identify repeated issues and work with engineering teams to reduce manual activities through automation.
Recommend improvements to deployment strategies| tooling| and documentation.
Required Skills
Experience in software deployment| release management| DevOps| or environment coordination roles.
Familiarity with CICD tools (Azure DevOps| Jenkins| GitHub Actions| GitLab| etc.).
Understanding of software development lifecycle (SDLC) and Agile methodologies.
Strong analytical| problem-solving| and troubleshooting skills.
Ability to manage multiple deployments in parallel and coordinate with cross-functional teams.
Excellent communication and documentation skills.
Understanding of application configuration| versioning| change approval| and release governance.
Preferred Qualifications
Experience in financial services| bank
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
kills Required: Digital: Kubernetes, Digital: Google Data Engineering
Experience Range in Required Skills: 5+ Years
Job Description: GCP (E2), Big Query Cloud Composer, GKE
Role Overview:
We are looking for a Data Engineer with hands-on experience in Google Cloud Platform (GCP) services to work on implementing and managing data ingestion using our in- house Origin Data Product (ODP) framework. The role primarily involves configuring pipelines, loading data, debugging issues, and ensuring smooth operation of the data ingestion process. Should be capable of handling parameter changes, data issues, and basic fixes within the scope of ingestion
jobs. If you understand the framework well, you are encouraged to suggest improvements and may contribute to enhancements in collaboration with the core
development team.
Key Responsibilities:
• Configure and execute data ingestion pipelines using our reusable GCP-based framework.
• Work with services such as GCS, BigQuery, Composer, Data Fusion, DataProc for ETL/ELT operations.
• Manage parameters, job configurations, and metadata for ingestion.
• Debug and resolve issues related to data, parameters, and job execution.
• Escalate framework-related bugs to the core development team when required.
• Monitor daily job runs, troubleshoot failures, and ensure SLAs are met.
• Collaborate with cross-functional teams for smooth delivery.
• Follow version control best practices using Git.
• Maintain deployment scripts and infrastructure configurations via Terraform.
• (Nice-to-have) Work with TWSd job scheduling/monitoring tools.
• Suggest improvements to the framework or processes based on usage experience.
• Contribute to small enhancements in the framework, where applicable.
Required Skills & Experience:
• 5+ years of experience as a Data Engineer or in a similar role.
• Strong working knowledge of Google Cloud Storage (GCS), BigQuery, Composer, Data Fusion, Dataproc.
Responsibilities
kills Required: Digital: Kubernetes, Digital: Google Data Engineering
Experience Range in Required Skills: 5+ Years
Job Description: GCP (E2), Big Query Cloud Composer, GKE
Role Overview:
We are looking for a Data Engineer with hands-on experience in Google Cloud Platform (GCP) services to work on implementing and managing data ingestion using our in- house Origin Data Product (ODP) framework. The role primarily involves configuring pipelines, loading data, debugging issues, and ensuring smooth operation of the data ingestion process. Should be capable of handling parameter changes, data issues, and basic fixes within the scope of ingestion
jobs. If you understand the framework well, you are encouraged to suggest improvements and may contribute to enhancements in collaboration with the core
development team.
Key Responsibilities:
• Configure and execute data ingestion pipelines using our reusable GCP-based framework.
• Work with services such as GCS, BigQuery, Composer, Data Fusion, DataProc for ETL/ELT operations.
• Manage parameters, job configurations, and metadata for ingestion.
• Debug and resolve issues related to data, parameters, and job execution.
• Escalate framework-related bugs to the core development team when required.
• Monitor daily job runs, troubleshoot failures, and ensure SLAs are met.
• Collaborate with cross-functional teams for smooth delivery.
• Follow version control best practices using Git.
• Maintain deployment scripts and infrastructure configurations via Terraform.
• (Nice-to-have) Work with TWSd job scheduling/monitoring tools.
• Suggest improvements to the framework or processes based on usage experience.
• Contribute to small enhancements in the framework, where applicable.
Required Skills & Experience:
• 5+ years of experience as a Data Engineer or in a similar role.
• Strong working knowledge of Google Cloud Storage (GCS), BigQuery, Composer, Data Fusion, Dataproc.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :(Job Title: Data Engineer – GCP Framework Implementation)
