Lead Consultant(Product/Domain)
HCLTech
Noida, Uttar Pradesh, IndiaPosted 14 days agoDiscoveredMatch locked
Full-time
Job Description: Palantir Developer / Data Engineer (6+ Years Experience)
Experienced Palantir Developer with 6+ years of experience in designing, developing, and implementing enterprise-scale data integration, analytics, and operational solutions using Palantir Foundry. Strong expertise in data modeling, ontology design, ETL development, Python, SQL, and cloud-based data platforms. Ability to collaborate with business stakeholders, architects, and engineering teams to deliver scalable and high-performance data solutions.
Requirement / Skill
Type
6+ years of overall IT/Data Engineering experience
Must to have
Hands-on experience with Palantir Foundry
Must to have
Data Integration and ETL Pipeline Development
Must to have
SQL Programming
Must to have
Python Development
Must to have
Data Modeling and Schema Design
Must to have
Ontology Management in Palantir
Must to have
Pipeline Builder and Code Repositories
Must to have
Data Analysis and Troubleshooting
Must to have
API Integration and Data Connectivity
Must to have
Data Quality and Validation Techniques
Must to have
Performance Optimization
Must to have
Agile/Scrum Methodology
Must to have
Stakeholder Communication Skills
Must to have
Problem Solving and Analytical Skills
Must to have
Cloud Platforms (Azure/AWS/GCP)
Nice to have
Spark / PySpark Experience
Nice to have
Machine Learning Integration
Nice to have
DevOps and CI/CD Practices
Nice to have
Knowledge of Data Governance Frameworks
Nice to have
Big Data Technologies
Nice to have
Palantir Gotham Experience
Nice to have
Visualization Tools (Power BI, Tableau)
Nice to have
Leadership and Mentoring Experience
Nice to have
Domain Knowledge (Manufacturing, Supply Chain, Finance, Healthcare, etc.)
Nice to have
Job Description: Palantir Developer / Data Engineer (6+ Years Experience)
Experienced Palantir Developer with 6+ years of experience in designing, developing, and implementing enterprise-scale data integration, analytics, and operational solutions using Palantir Foundry. Strong expertise in data modeling, ontology design, ETL development, Python, SQL, and cloud-based data platforms. Ability to collaborate with business stakeholders, architects, and engineering teams to deliver scalable and high-performance data solutions.
Requirement / Skill
Type
6+ years of overall IT/Data Engineering experience
Must to have
Hands-on experience with Palantir Foundry
Must to have
Data Integration and ETL Pipeline Development
Must to have
SQL Programming
Must to have
Python Development
Must to have
Data Modeling and Schema Design
Must to have
Ontology Management in Palantir
Must to have
Pipeline Builder and Code Repositories
Must to have
Data Analysis and Troubleshooting
Must to have
API Integration and Data Connectivity
Must to have
Data Quality and Validation Techniques
Must to have
Performance Optimization
Must to have
Agile/Scrum Methodology
Must to have
Stakeholder Communication Skills
Must to have
Problem Solving and Analytical Skills
Must to have
Cloud Platforms (Azure/AWS/GCP)
Nice to have
Spark / PySpark Experience
Nice to have
Machine Learning Integration
Nice to have
DevOps and CI/CD Practices
Nice to have
Knowledge of Data Governance Frameworks
Nice to have
Big Data Technologies
Nice to have
Palantir Gotham Experience
Nice to have
Visualization Tools (Power BI, Tableau)
Nice to have
Leadership and Mentoring Experience
Nice to have
Domain Knowledge (Manufacturing, Supply Chain, Finance, Healthcare, etc.)
Nice to have
Skill Requirements
null
Other Requirements
null
Not included in the source posting: about the role, what you'll do, benefits.
Skills
etlpythonsqlagileawsazureci-cddevopsgcpmachine-learningpower-biscrum
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
Read automatically from the employer's posting text. Always confirm with the employer — requirements can change after a job is published.