๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ณ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ต๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ณ-๐ต ๐๐ฃ๐)
Experience: 3+ yrs
Location: Pune, Maharashtra, India
Job Type: Full-time
We are looking for a talentedย Palantir Foundry Developerย with strong expertise inย Palantir Foundry, Azure Databricks, and Azure Data Lakeย to build and optimize modern enterprise data platforms. This role is ideal for professionals who enjoy designing scalable data solutions, developing robust data pipelines, and enabling data-driven decision-making through cloud-based analytics platforms.
As a Palantir Foundry Developer, you will collaborate with data engineers, solution architects, business analysts, and cross-functional stakeholders to deliver high-quality data integration and transformation solutions. You will play a key role in designing data workflows, managing enterprise data assets, and implementing scalable data models that support analytics, reporting, and operational excellence. The role offers an opportunity to work with cutting-edge cloud technologies while contributing to large-scale digital transformation initiatives in a collaborative environment.
Requirements
Key Responsibilities
- Design, develop, and maintain scalable data pipelines usingย Palantir Foundryย and Azure-based data platforms.
- Build, optimize, and manage data transformation workflows to process structured and unstructured data efficiently.
- Develop and maintain data ingestion, integration, and orchestration pipelines usingย Azure Databricks.
- Implement and manage enterprise data storage solutions usingย Azure Data Lakeย while ensuring data quality and consistency.
- Collaborate with business and technical stakeholders to understand data requirements and translate them into scalable technical solutions.
- Design reusable data models, datasets, and analytical pipelines that support reporting and business intelligence initiatives.
- Optimize data processing performance, pipeline reliability, and overall platform efficiency.
- Troubleshoot data integration issues, monitor workflow execution, and resolve production incidents in a timely manner.
- Implement data governance, security, and access control best practices across enterprise data assets.
- Create and maintain technical documentation for data architecture, workflows, and deployment processes.
- Participate in code reviews, testing activities, and continuous improvement initiatives to ensure high-quality deliverables.
- Stay updated with emerging technologies and best practices related to cloud data engineering and analytics.
What Makes You a Great Fit
- 3+ years of experience inย Data Engineeringย orย Cloud Data Platform Development.
- Strong hands-on expertise inย Palantir Foundry, including data pipelines, ontology, code repositories, and workflow development.
- Experience working withย Azure Databricks, Spark, and distributed data processing frameworks.
- Strong knowledge ofย Azure Data Lake, cloud storage, and enterprise data management.
- Proficiency in SQL, Python, and data transformation techniques for large-scale datasets.
- Good understanding of ETL/ELT processes, data modeling, data integration, and workflow orchestration.
- Experience working with cloud-based data platforms and modern analytics architectures.
- Strong analytical, debugging, and problem-solving skills with attention to detail.
- Excellent communication and collaboration skills with the ability to work effectively across cross-functional teams.
- Familiarity with Azure ecosystem services, DevOps practices, CI/CD pipelines, and data governance frameworks will be an added advantage.
- A proactive mindset with a passion for building scalable, secure, and high-performing enterprise data solutions.