Birlasoft Hiring 2026 | Data Engineer – Palantir (Backend) | Bengaluru | Apply Now

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Birlasoft Hiring – Data Engineer – Palantir (Backend)

Birlasoft is hiring for the Data Engineer – Palantir (Backend) position in Bengaluru, Karnataka, India. This is a full-time opportunity for candidates with knowledge of backend development, data engineering, Python, PySpark, Apache Spark, and Palantir Foundry.

The role focuses on designing and developing scalable data pipelines, large-scale batch processing, ETL/ELT workflows, Spark job optimization, data quality, monitoring, governance, lineage, and metadata management.

About Birlasoft

Birlasoft is a global technology and IT services company providing digital transformation, consulting, and technology solutions to organizations across different industries. The company works across areas including data, cloud, enterprise technology, analytics, and software engineering.

Job Details

Company: Birlasoft
Position: Data Engineer – Palantir (Backend)
Location: Bengaluru, Karnataka, India
Job Type: Full-Time
Requisition ID: 37118
Salary: Not Disclosed

Qualification / Eligibility Criteria

Bachelor's degree in Computer Science, Information Technology, Information Systems, or a related field.
Master's degree in Computer Science, Information Systems, or equivalent experience is also accepted.
Experience or knowledge in backend development and data engineering.
Ability to design and build scalable data pipelines using PySpark.
Knowledge of large-scale batch processing.
Knowledge of ETL/ELT workflows within Palantir Foundry.
Ability to optimize Spark jobs for performance, scalability, and cost efficiency.
Understanding of data quality, validation, monitoring, governance, lineage, and metadata management.

Job Description

The Data Engineer – Palantir (Backend) will be responsible for developing and supporting scalable data engineering solutions using technologies such as Python, PySpark, Apache Spark, and Palantir Foundry.

The role involves building data pipelines and batch processing workflows, working with curated datasets and semantic models, optimizing Spark jobs, and implementing processes related to data quality, validation, monitoring, governance, lineage, and metadata management.

Key Responsibilities

Design and build scalable data pipelines using PySpark.
Develop backend data engineering solutions.
Build and maintain large-scale batch processing workflows.
Develop ETL/ELT workflows within Palantir Foundry.
Work with curated datasets, semantic models, and data assets.
Optimize Apache Spark jobs for performance and scalability.
Improve data processing efficiency and cost optimization.
Implement data quality and validation frameworks.
Monitor data pipelines and identify potential issues.
Support data governance initiatives.
Maintain data lineage and metadata management processes.
Develop scalable and reliable data engineering solutions.
Analyze and troubleshoot pipeline and processing issues.

Key Skills Required

Data Engineering
Backend Development
Python
PySpark
Apache Spark
Data Pipelines
Batch Processing
ETL / ELT
Palantir Foundry
Curated Datasets
Semantic Models
Data Assets
Spark Job Optimization
Data Quality
Validation Frameworks
Monitoring Pipelines
Data Governance
Data Lineage
Metadata Management
Scalability
Performance & Cost Optimization

Preferred Skills

Strong Python programming skills.
Hands-on knowledge of PySpark and Apache Spark.
Experience designing scalable data pipelines.
Understanding of large-scale data processing.
Knowledge of Palantir Foundry data engineering workflows.
Experience with ETL/ELT processes.
Ability to optimize Spark jobs for performance and cost.
Understanding of data quality and validation frameworks.
Knowledge of data governance, lineage, and metadata management.
Strong problem-solving and troubleshooting abilities.

Tools & Technologies

Python
PySpark
Apache Spark
Palantir Foundry
ETL / ELT
Data Pipelines
Batch Processing
Data Quality & Validation Frameworks
Data Monitoring
Data Governance
Data Lineage
Metadata Management

Salary

The salary for the Birlasoft Data Engineer – Palantir (Backend) position is not disclosed in the provided job posting. Candidates can check the official Birlasoft careers page for any updated compensation information.

Selection Process

The exact selection rounds for this position are not disclosed in the provided job posting. The recruitment process may vary depending on Birlasoft's hiring requirements and the candidate's profile.

Why Apply for Birlasoft?

Opportunity to work in the data engineering domain.
Work with modern technologies such as PySpark, Apache Spark, and Palantir Foundry.
Opportunity to build and optimize scalable data pipelines.
Exposure to large-scale batch processing and ETL/ELT workflows.
Opportunity to work on data quality, governance, lineage, and metadata management.
Develop expertise in backend data engineering.
Opportunity to work on performance and cost optimization initiatives.

Who Should Apply?

This opportunity is suitable for candidates with a Bachelor's or Master's degree in Computer Science, Information Technology, Information Systems, or a related field who have experience or knowledge in backend development and data engineering.

Candidates with strong Python and PySpark skills, knowledge of Apache Spark, experience building scalable data pipelines, and familiarity with Palantir Foundry should consider applying.

Important Eligibility Information

A Bachelor's degree in a relevant technical field is required.
A Master's degree or equivalent experience is also accepted.
Knowledge or experience in backend and data engineering is required.
Strong understanding of PySpark and scalable data pipelines is important.
Knowledge of large-scale batch processing is expected.
Understanding of ETL/ELT workflows within Palantir Foundry is required.
Knowledge of Spark performance, scalability, and cost optimization is important.
Understanding of data quality, validation, monitoring, governance, lineage, and metadata management is required.

How to Apply for Birlasoft Data Engineer – Palantir?

Click on the official Birlasoft application link below.
Read the complete job description and eligibility requirements.
Check whether your educational qualifications and skills match the role.
Prepare your updated resume highlighting relevant data engineering experience.
Complete the online application form with accurate information.
Upload your resume and any required documents.
Review your application carefully.
Submit the application through the official Birlasoft careers portal.

Official Application Link: Click Here to Apply

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Disclaimer

This job information is provided for informational and career awareness purposes. Candidates are advised to verify the eligibility criteria, qualifications, job responsibilities, salary, selection process, application status, and other details on the official Birlasoft careers page before applying. Hima_Hire does not guarantee selection or employment.

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Birlasoft Hiring 2026 | Data Engineer – Palantir Backend | PySpark | Bengaluru | Apply Now

Meta Description

Birlasoft Hiring 2026 for Data Engineer – Palantir Backend in Bengaluru. Candidates with Python, PySpark, Apache Spark, Palantir Foundry, ETL/ELT and data pipeline skills can apply online.

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