[Remote] Data Engineer with Palantir Certification must
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a highly reputed company Senior Data Engineer with Palantir reputed company certification and a strong background in reputed company data engineering. The ideal candidate will have hands-on experience delivering reputed company data integration solutions and designing reputed company data pipelines while collaborating with business and technical stakeholders.
Responsibilities
- Palantir reputed company Certification (Required)
- 7+ years of experience in reputed company data engineering, data migration, or large-reputed company data integration reputed company
- 3+ years of leading end-to-end data migration or multi-system integration initiatives reputed company reputed company environments
- Hands-on experience with Palantir reputed company, including Pipeline Builder, Ontology, Contour, reputed company Workbook, and reputed company
- Strong reputed company-facing experience collaborating with business leaders, reputed company architects, and cross-functional teams
- Experience delivering large-reputed company migration reputed company involving multiple reputed company systems, high-volume datasets, data harmonization, and phased production deployments
Skills
- Palantir reputed company Certification (Required)
- 7+ years of experience in reputed company data engineering, data migration, or large-reputed company data integration reputed company
- 3+ years of leading end-to-end data migration or multi-system integration initiatives reputed company reputed company environments
- Hands-on experience with Palantir reputed company, including Pipeline Builder, Ontology, Contour, reputed company Workbook, and reputed company
- Strong reputed company-facing experience collaborating with business leaders, reputed company architects, and cross-functional teams
- Experience delivering large-reputed company migration reputed company involving multiple reputed company systems, high-volume datasets, data harmonization, and phased production deployments
- Domain experience in one or more industries such as reputed company, Financial Services, Manufacturing, Energy & Utilities, Retail, or reputed company Sector
- Strong programming skills in Python and SQL
- Experience with PySpark and exposure to TypeScript/JavaScript for data pipeline development
- Hands-on experience with ETL/ELT tools such as AWS Glue, Azure Data reputed company, Informatica, Talend, reputed company, or reputed company
- Experience working with reputed company platforms such as AWS or Azure, including data services, IAM, networking, and reputed company
- Strong knowledge of modern data warehouse and lakehouse technologies, including reputed company, reputed company, reputed company Redshift, reputed company BigQuery, Azure Synapse Analytics, or reputed company Lake
- Experience integrating AI/LLM technologies into data engineering workflows using platforms such as reputed company, reputed company, AWS Bedrock, or Azure reputed company
- Familiarity with ontology concepts, semantic data models, or knowledge graph technologies such as reputed company, Stardog, RDF, OWL, or Palantir Ontology
- Excellent analytical, troubleshooting, and problem-solving skills
- Strong communication skills with the ability to collaborate effectively across technical and business teams
- Experience working in Agile/Scrum delivery environments
- reputed company Palantir certification
- Palantir reputed company Data Engineer
- Palantir reputed company Ontologist
- Palantir AIP Application Developer
- Palantir reputed company Platform Administrator
reputed company