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Обязанности понятны, а работа связана с корпоративными платформами данных в крупной оборонной технологической компании. Но необычно высокий порог по опыту Palantir и офисный формат сужают круг возможностей, а зарплата не указана.
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Зарплата не указанаВысокий порог входаТолько офисПонятные задачиАктуальные технологииВыходная пятница
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Lead, IT Architecture (Data Engineer) (Palantir Foundry/Data Engineering): Building and maintaining enterprise data pipelines, integrations, data models, and dashboards for a modern Unified Data Layer with an accent on data quality, orchestration, and scalable data solutions. Focus on designing complex logical data models, troubleshooting synchronization issues, consolidating data for big data analytics, and supporting business users with documentation and testing.
Location: On-site in Melbourne, Florida, United States.
Company
hirify.global develops defense technology and end-to-end technology solutions across space, air, land, sea, and cyber domains for national security missions.
What you will do
Design, build, and maintain robust enterprise data pipelines and reliable data flows.
Schedule and orchestrate workflows, monitor pipeline health, and maintain continuous data availability.
Create and optimize data connections, datasets, transformations, logical data models, and data integration mechanisms in Palantir Foundry.
Troubleshoot data synchronization issues and uphold data quality across source systems and business applications.
Develop data cleansing, consolidation, and integration capabilities for big data analytics at scale.
Build Palantir Foundry visualizations and support business-user testing, troubleshooting, documentation, and training.
Requirements
Bachelor’s degree and at least 9 years of prior Palantir experience, or a graduate degree and at least 7 years of prior Palantir experience; alternatively, 13 years of prior Palantir experience without a degree.
At least 4 years of experience developing data pipelines or using ETL tools such as Palantir Foundry, Azure Data Factory, SSIS, or Python.
At least 4 years of experience in data integration.
Nice to have
Experience designing and developing data pipelines with PySpark, Spark SQL, SQL, or Code Build.
Experience building and deploying data synchronization schedules and maintaining pipelines in Palantir Foundry.
Strong understanding of Business Intelligence and Data Warehouse development methodologies.
Hands-on experience with Snowflake, including data architecture, query optimization, and performance tuning.
Proficiency in Python, PySpark, Pandas, Databricks, JavaScript, or other scripting languages for data processing and automation.
Experience with Azure Data Factory, SSIS, Informatica, Talend, or other ETL tools.
Experience connecting to and extracting data from ERP applications such as Oracle EBS, SAP ECC/S4, and Deltek Costpoint.
Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex, or similar technologies.
Culture & Benefits
On-site work in Melbourne, Florida.
9/80 schedule: 9 workdays every 14 days, totaling 80 hours, with every other Friday off.
Inclusive and engaging work environment focused on professional growth, community commitment, and work-life success.
Employment may require background checks, pre-employment substance-abuse testing, and security-clearance eligibility where applicable.
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