IN_Manager_ Palantir_ Data and Analytics_Advisory_Hyderabad

Job Description & Summary:

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Job Position Title:

IN_Manager_ Palantir_ Data and Analytics_Advisory_Hyderabad

Responsibilities:

Responsibilities:

• JD – Palantir Foundry

• · 3+ years of experience in implementing analytical solutions using Palantir Foundry.

• · preferably in PySpark and hyperscaler platforms (cloud services like AWS, GCP and Azure) with focus on building data transformation pipelines at scale.

• · Team management: Must have experience in mentoring and managing large teams (20 to 30 people) for complex engineering programs. Candidate should have experience in hiring and nurturing talent in Palantir Foundry.

• · Training: candidate should have 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 of building and managing Ontologies on Palantir Foundry.

• · At least 3 years of experience with Foundry services:

• · 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 of managing data life cycle on at least one hyperscaler platform (AWS, GCP, Azure) using managed services or containerized deployments for data pipelines is necessary.

• · Hands-on experience in working & building on Ontology (esp. demonstrable experience in building Semantic relationships).

• · Proficiency in SQL, Python and PySpark. Demonstrable ability to write & optimize SQL and spark jobs. Some experience in Apache Kafka and Airflow is a prerequisite as well.

Mandatory skill sets:

Palantir

Preferred skill sets:

Pyspark

Years of experience required:

8+ Years

Education qualification:

B.Tech, M.tech, MBA