Senior Software Engineer – Python, Palantir

YASH Technologies

. Design, implement, and maintain scalable and reliable data pipelines using Palantir Foundry and AWS .

Posted 10/7/2026full-timeBangalore • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data pipelines using Palantir Foundry and AWS, with strong proficiency in data integration, ETL workflows, and data governance. Capable of collaborating with cross-functional teams to translate data requirements into effective technical solutions.

Highest-signal resume keywords

Palantir FoundryAWSPySparkPythonSQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData IntegrationETL WorkflowsData ModellingData QualityData GovernanceData Processing FrameworksOntology ModellingData FusionTransformation Logic

Soft Skills

Problem-SolvingCommunicationCollaboration

Tools & Technologies

SnowflakeGitCI/CD PipelinesRelational DatabasesData LakesCloud Data WarehousesAzureGCPWeb Services

Industry Keywords

Data PipelinesData AssetsData ArchitectureData VersioningData LineageObservability

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformPySparkPythonSQL

About the role

Key responsibilities & impact

Design, implement, and maintain scalable and reliable data pipelines using Palantir Foundry and AWS
Develop web front-end applications and web services
Collaborate with data scientists, analysts, and business stakeholders to translate data requirements into technical solutions
Build reusable data assets and integrate data from multiple sources
Ensure data quality, integrity, and security
Develop and maintain transformation workflows, ontology models, and data governance frameworks within Foundry
Optimize data pipelines for performance, scalability, and cost efficiency
Troubleshoot, monitor, and resolve data issues and pipeline failures in real time
Implement best practices in data versioning, lineage, and observability
Assist in defining data architecture strategies and tooling roadmaps
Mentor junior engineers and contribute to knowledge sharing and documentation
Apply business analytics or financial forecasting exposure where applicable

Requirements

What you’ll need

5–12 years of experience in data engineering, analytics, or software engineering roles
Strong hands-on experience with PySpark, Palantir Foundry, and AWS, including ontology modelling, pipelines, data fusion, and transformation logic
Proficiency in Python, SQL, Snowflake, and data processing frameworks
Solid understanding of data integration, ETL workflows, and data modelling principles
Experience with relational databases, data lakes, cloud data warehouses, AWS, Azure, GCP, Snowflake, and web services
Strong problem-solving skills and ability to debug complex data workflows
Familiarity with CI/CD pipelines and version control tools such as Git
Excellent communication skills and ability to work collaboratively with cross-functional teams

Benefits

Comp & perks

Flexible work arrangements
Inclusive team environment
Career-oriented skilling models
Continuous learning, unlearning, and relearning
Stable employment
Great atmosphere and ethical corporate culture
Support needed for realization of business goals
Open collaboration and transparent workplace culture