Palantir Foundry data engineer (Bengaluru)

Palantir Foundry data engineer (Bengaluru)

11 Nov
|
SRS Infoway
|
Bengaluru

11 Nov

SRS Infoway

Bengaluru

Description:

Support, maintain, and enhance Palantir Foundry applications, data pipelines, datasets, and operational

workflows.

- Develop data transformation and processing logic using SQL, Python, and PySpark.
- Troubleshoot data pipeline, workflow, and application issues and drive them through to resolution.
- Monitor data workflows and proactively identify failures, performance bottlenecks, and data-quality issues.
- Implement data validation, cleansing, reconciliation, and monitoring controls to improve reliability.
- Work with large and complex datasets to support analytics, reporting, and operational use cases.
- Collaborate with business stakeholders, application teams, and engineering teams to understand requirements

and deliver practical solutions.

- Apply basic Azure Data Engineering knowledge when working with cloud-based data ingestion, storage, and

processing components.

- Contribute to process improvement, automation, technical documentation, and support handover activities.
- Follow applicable data security, governance, access-control, and compliance standards.





Azure Knowledge Expected Working knowledge or basic exposure to one or more of the following is desirable: • Azure Data Factory (ADF) • Azure Data Lake Storage (ADLS) • Azure SQL Database • Azure Blob Storage • Azure Databricks • Azure DevOps and basic CI/CD practices

Mandatory Skills

- Strong hands-on experience with Palantir Foundry, including practical exposure to data pipelines, workflows,

datasets, applications, or platform support.

- Good hands-on proficiency in SQL for data extraction, transformation, validation, and troubleshooting.
- Good hands-on proficiency in Python for data processing, automation, and support utilities.
- Positive hands-on proficiency in PySpark and a sound understanding of Apache Spark and distributed data

processing concepts.

- Basic knowledge or working experience in Azure Data Engineering.
- Strong analytical, debugging, and problem-solving skills.
- Effective communication and stakeholder-management skills.
- Ability to work proactively in a support-oriented environment and take ownership of operational issues

📌 Palantir Foundry data engineer (Bengaluru)
🏢 SRS Infoway
📍 Bengaluru

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