Senior Data Engineer, Palantir at Owens & Minor

Mumbai, Maharashtra, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

HealthcareIndustries

Requirements

Bachelor’s or master’s degree in computer science, Information Technology, or other related field (or equivalent work experience with strong academic performance, CGPA ≥ 7.0 or equivalent)
3-5 years of experience in data analysis, software development, or technical consulting
3-5 years’ experience in data engineering for data applications with Machine Learning
Knowledge of analyzing data using tools like Code Workbook, Contour, and Quiver
Languages: Python, SQL, TypeScript
Frameworks: PySpark
Platforms: Palantir Foundry
Data Tools: Pipeline Builder, Data Connections, Code Repos, Contour, Quiver, Workshop
ITIL experience with ServiceNow and service management practices
Self-starter, problem-solving aptitude, challenging status quo
Continuously researches and evaluates emerging technologies
Team player with excellent communication and interpersonal skills
Preferred: Strong background in data engineering/ETL ecosystems with Palantir Foundry, Cognizant, Python, PySpark, and Java
Preferred: Familiarity with machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, PyTorch)
Preferred: Certifications such as Foundry Application Developer, Foundry Data Analyst, Foundry Data Engineer

Responsibilities

L3 Support: Manage and respond to platform incidents, service requests, and manage ITSM process using ServiceNow following ITIL practices (SLA adherence)
Monitor and triage Palantir Foundry pipelines and data health checks
Handle critical incidents with timely resolution and keep stakeholders informed
Provide technical support and troubleshooting for Palantir software implementations
Ensure compliance with data security
Collaborate with cross-functional teams to support and deliver high-impact data solutions
Maintain runbooks and SOPs for recurring issues
Create and maintain data pipelines using Pipeline Builder and Code Repositories
Participate in user interviews to understand technical and customer needs
Establish data connections, build data health monitors, and analyze data lineage
Work with the Development Team to translate business needs, challenges, and requirements into solutions that deliver value to the organization
Perform enhancements, upgrades, and bug fixing
Be the Technical Lead and go-to person for support, maintenance, and upkeep of systems for Palantir RTB team
Get involved in translating business requirements and building machine learning models along with CTB team
Participate in shift rotations to ensure 24x7 coverage

Skills

Key technologies and capabilities for this role

Palantir FoundryPipeline BuilderCode RepositoriesServiceNowITILData PipelinesData Health MonitorsData LineageMachine Learning

Questions & Answers

Common questions about this position

What experience level is required for this Senior Data Engineer role?

The role requires 3-5 years of experience in data analysis, software development, or technical consulting, plus 3-5 years in data engineering for data applications with Machine Learning.

What technical skills and tools are needed for this position?

Required languages include Python, SQL, and TypeScript; frameworks like PySpark; and Palantir Foundry platforms with tools such as Pipeline Builder, Data Connections, Code Repos, Contour, Quiver, and Workshop. Knowledge of ITIL practices is also essential.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What does the team structure look like for this role?

You will join a data solutions team partnering with data scientists, data gurus, product owners, the Palantir RTB team, and CTB team, involving collaboration with cross-functional teams and participation in shift rotations for 24x7 coverage.