Educational Requirements

- Bachelor of Engineering

- BTech

- BSc

- BCA

- MTech

- MCA

- MSc

Service Line

Data Analytics Unit

Responsibilities

- Data Engineering Pipeline Development: Build and maintain scalable data pipelines using Palantir Foundry (Code Repositories, Pipelines, Ontology).

- Ingest data: Perform data ingestion, transformation, and integration from multiple sources.

- Ensure data quality, integrity, and reliability across datasets.

- Foundry Platform Development: Develop and manage workflows using Foundry tools (Pipeline Builder, Code Workbook, Workshop Apps).

- Implement business logic using Python, SQL, or PySpark.

- Work with Foundry Ontology to model business entities and relationships.

- Application Development: Build user-facing applications using Foundry Workshop.

- Create dashboards and analytics for business users.

- Enable real-time or near-real-time insights.

- Collaboration Stakeholder Management: Collaborate closely with business teams to understand requirements.

- Translate business problems into data solutions.

- Provide technical guidance on best practices.

- Performance Optimization: Optimize data pipelines for performance and scalability.





- Monitor jobs and troubleshoot failures.

- Implement efficient data models.

- Technical Skills: Hands-on experience with Palantir Foundry (mandatory for mid/senior roles).

- Strong SQL skills and experience with relational databases.

- Proficiency in Python / PySpark / Spark.

- Experience with ETL/ELT pipeline design.

- Knowledge of data modeling concepts.

- Platform Knowledge: Foundry components: Code Repositories, Ontology, Pipeline Builder, Workshop / Slate / Quiver.

- Familiarity with distributed data processing.

- General Skills: Solid problem-solving skills; Ability to work in agile environments; Good communication and stakeholder engagement.

Additional Responsibilities

- Experience with big data technologies (Hadoop, Spark, Kafka).

- Knowledge of cloud platforms (AWS, Azure, GCP).

- Experience in data governance and security.

- Prior consulting or client-facing experience.

Technical and Professional Requirements

- Technology - Data Engineering - Palantir Foundry

Preferred Skills

- Palantir Foundry

📌 Palantir Foundry Professional (Bengaluru)
🏢 Infosys
📍 Bengaluru