<p><p><b>Description :</b><br/><br/></p><p>Now Hiring: Data Engineer (Python, PySpark, Palantir Foundry) | Pune | Contract-to-Hire | Hybrid | US Client<br/><br/>Vopais is looking for experienced Data Engineers to join a high-impact team in Pune, supporting a major client in the utilities/energy sector.
This contract-to-hire opportunity offers hands-on leadership in building robust, enterprise-scale data pipelines and analytics on the latest data platforms.<br/><br/><b>Key Responsibilities :</b><br/><br/></p><p>- Design, develop, and optimize ETL data pipelines using Python & PySpark<br/><br/>- Ensure end-to-end data quality, governance, and compliance<br/><br/>- Collaborate with solution architects and analysts to translate business needs into technical solutions<br/><br/>- Work extensively with Palantir Foundry (pipelines, ontology, data modeling, integration)<br/><br/>- Manage and transform complex data from multiple sources (structured/unstructured)<br/><br/>- Performance tuning and troubleshooting of big data applications<br/><br/>- Follow best practices in coding, testing, and deployment<br/><br/><b>Requirements :</b><br/><br/></p><p>- 3 to 10 years of relevant data engineering experience (preferably in utilities/energy or similar domains)<br/><br/>- Advanced programming skills in Python<br/><br/>- Extensive PySpark and big data handling experience<br/><br/>- Strong, hands-on Palantir Foundry expertise (pipelines, ontology, integration)<br/><br/>- Excellent SQL, data modeling, and problem-solving skills<br/><br/>- Good communication, stakeholder management, and team collaboration abilities<br/><br/><b>Nice to have :</b><br/><br/></p><p>- Cloud data services: AWS, Azure, or GCP<br/><br/>- DevOps (CI/CD) for data engineering<br/><br/>- Visualization tools: Tableau, Power BI, Palantir dashboards<br/><br/>- Domain experience in utilities/energy<br/><br/><b>Why Vopais :</b><br/><br/></p><p>- Be at the forefront of Palantir Foundry-driven solutions in energy/utilities<br/><br/>- Grow with a collaborative and innovation-focused team<br/><br/>- Hybrid work (3 days/week in Pune office, client site as required)<br/></p><br/></p> (ref:hirist.tech)