Description

Data Integration & Ingress: Configure and manage secure, scalable, and resilient data connections. Set up flexible ingress topologies to bring in multi-modal data streams (structured, unstructured, streaming, IoT, etc.).

Pipeline Orchestration: Design, implement, and maintain robust, automated data pipelines using Pipeline Builder and code repositories

Ontology Management: Create, configure, and manage core Ontology objects inside Palantir Foundry to model real-world concepts.

Application & Solution Development: Develop end-to-end solutions, custom workflows, and user-facing applications using Palantir Workshop or Slate.

Business Analysis: Work directly on business requirements, dissecting problem statements and translating them into technical solutions within the platform.

Training & Enablement: Provide ongoing training and technical support to end-users to maximize their effective utilization of Palantir Foundry.

Governance & Standards: Ensure all pipeline operations comply with data privacy, governance, and strict cybersecurity regulatory requirements. Maintain full data provenance using the Job Spec paradigm.

Qualifications

B.E./ B. Tech./BE IT or any graduate

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Technical Skills:

Palantir Ecosystem & Tools:

No-Code/Low-Code Transformation: Proficiency in Preparation and Contour.

Pipeline Orchestration: Designing/managing pipelines with Pipeline Builder and Code Repositories.

Application Generation: Building custom applications utilizing Workshop or Slate.

Analysis Tools: Hands-on analytical experience using Code Workbook, Contour, and Quiver.

Programming & Scripting:

Working knowledge of Python, PySpark

Knowledge of TypeScript.

AI & Machine Learning:

Familiarity with AIP (Artificial Intelligence Platform) Natural Language.

Experience integrating ML and AI capabilities within the Palantir environment for advanced analytics.

Data Engineering Core:

Proficiency in data modeling, ETL (Extract, Transform, Load) processes, and data governance.

Solid understanding of relational databases (such as Oracle and SQL Server).

Knowledge of API integration to flow data between Palantir and external applications/systems.

Data Integration:

Handling multi-modal data types (structured, unstructured, streaming, IoT, and geospatial).

Knowledge of flexible ingress topologies (agent-based, REST, JDBC, etc.) and leveraging standard data connectors.

"Data-as-code" practices (versioning, branching, and change management).

Security & Compliance:

Knowledge of cybersecurity principles, data privacy, and security standards when handling sensitive information.

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Soft Skills & Professional Attributes: Hybrid Business/Technical Aptitude: Ability to cross over between traditional Data Engineering and Business Analysis tasks.Problem-Solving: Strong critical-thinking, analytical, and troubleshooting/debugging skills with high attention to detail.Communication: Excellent written and verbal communication skills to coordinate with local teams and US office stakeholders.Collaboration: Highly collaborative mindset, capable of working seamlessly within a multidisciplinary team (Developers, QA, Support, DevOps).Continuous Learning: Self-driven learning capability and an interest in learning and developing new IT skills as technology evolves.

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Certifications (Preferred/Plus): Foundry Application Developer, Foundry Data Analyst, Foundry Data Engineer

• This is a work-from-office role (demands physical presence).Provides a benefit of four (4) Work From Home (WFH) days per month.Assignment to the 2nd shift (12:30 PM to 9:00 PM) depending on the project needs
• Note: This shift is specifically designated to allow a 3-4 hour overlap for real-time collaboration with the US Office.Possession of an active US Business Visa (B1/B2) is considered a major plus for occasional business visits.

This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled.

Job Information Technology

Primary Location India-Maharashtra-Mumbai

Schedule: Contract

Travel: No

Req ID: 263232

Job Hire Type Contingent Worker (CWK) Not Applicable #BMI N/A