{"id":2705845,"url":"https://alion.io/job/digihelic-palantir-data-foundry-developer","title":"Palantir Data Foundry Developer","company":{"id":3801127,"name":"DigiHelic","domain":"digihelic.com","url":"https://alion.io/company/digihelic","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":14000,"max_usd":34000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"LLM","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"GCP","optional":true},{"name":"Git","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-16T11:32:43Z","employer_posted_date":null,"last_verified_at":"2026-10-16T11:32:43Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Job Title : Palantir DataFoundry Developer.\n\nExperience : 4 - 8 Years.\n\nLocation : Pune.\n\nEmployment Type : Full-Time.\n\nJob Overview :\n\nWe are looking for an experienced Palantir DataFoundry Developer with 4 - 8 years of experience in Data Engineering and hands-on experience with Palantir Foundry/DataFoundry and Palantir AIP.\n\nThe candidate will be responsible for developing data pipelines, data models, workflows, AI-enabled solutions, and business applications using Foundry and AIP.\n\nKey Responsibilities :\n\n- Develop and maintain data pipelines, datasets, and workflows using Palantir Foundry/DataFoundry.\n\n- Work on Foundry Ontology, including data modeling, objects, relationships, and business logic.\n\n- Develop and implement solutions using Palantir AIP, including AI-enabled workflows, applications, and business use cases.\n\n- Integrate data from multiple sources and perform data transformation and processing.\n\n- Develop scalable data solutions using Python, SQL, and PySpark.\n\n- Build and support AIP-based solutions using Foundry data and Ontology.\n\n- Perform data validation, quality checks, and troubleshooting of data pipelines.\n\n- Collaborate with data engineers, business teams, and other stakeholders to understand requirements and deliver solutions.\n\n- Optimize existing pipelines, workflows, and AIP solutions for performance and reliability.\n\n- Follow best practices for data governance, security, documentation, and deployment.\n\n- Participate in testing, code reviews, and production support activities.\n\nRequired Skills : \n\n- 4 - 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