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Senior Associate
2 weeks ago
As a Data and Analytics professional, you will have the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities that enable our clients to drive innovation, growth, and change within their organizations.
- We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
- You will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities.
About the Role:
- This role involves implementing analytical solutions using Palantir Foundry.
- Preferably 3+ years of experience in PySpark and hyperscaler platforms (cloud services like AWS, GCP, and Azure) with a focus on building data transformation pipelines at scale.
- Must have experience in mentoring and managing large teams (20-30 people) for complex engineering programs.
- Experience in creating training programs in Foundry and delivering the same in a hands-on format either offline or virtually.
- At least 3 years of hands-on experience in building and managing Ontologies on Palantir Foundry.
Requirements:
- Data Engineering with Contour and Fusion
- Dashboarding and report development using Quiver (or Reports)
- Application development using Workshop
- Exposure to Map and Vertex is a plus
- Palantir AIP experience will be a plus
- Hands-on experience in data engineering and building data pipelines (Code/No Code) for ELT/ETL data migration, data refinement, and data quality checks on Palantir Foundry.
- Hands-on experience in managing data lifecycle on at least one hyperscaler platform (AWS, GCP, Azure) using managed services or containerized deployments for data pipelines.
Benefits:
- A career within Data and Analytics services offers numerous benefits, including opportunities for personal and professional growth, collaboration with a dynamic team, and the chance to work with cutting-edge technologies.
Education:
Bachelor's degree in computer science, data science, or any other engineering discipline. Master's degree is a plus.
Years Of Experience Required:4+
Certifications:None specified
Travel Requirements:Not Specified
Available for Work Visa Sponsorship:No
Government Clearance Required:No
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