Job Information
Burns & McDonnell Data Engineer-Palantir in Mumbai, India
Description
Role Overview
As a Data Engineer, you’ll play a crucial role in ensuring seamless data flow within Foundry. You’ll work closely with cross-functional teams to design, implement, and maintain robust data pipelines. Your expertise will contribute to the success of our organization’s data-driven initiatives. As a Data Engineer you will be involved in Business requirements, problem statements and developing end-to-end solutions using Palantir. Incumbent will play a paramount role in transforming the Organization on Palantir. This role is not limited to only Data Engineer as it also demands exciting responsibilities of Business analyst.
Responsibilities and Duties
Technical:-
Data Integra
tion
Secure, scalable, and resilient integration of diverse data sources.
Leverage 200 data connectors using an extensible plugin-based paradigm.
Configure flexible
ingress topology (agent-based, REST, JDBC, etc.).
API Integration :
Integrating Palantir with other systems and applications using APIs for seamless data flow.
Handle multi-modal data (structured, unstructured, streaming, IoT, geospatial).
Treat data like code (versioning, branching, full change management).
Data Transformation :
- Implement low-code/no-code transformations using tools like
Preparation and
Contour .
- Should have knowledge of
Typescript ,
AIP Natural Language.
- Ensure full provenance through the
Job Spec paradigm.
Machine Learning and AI :
- Familiarity with integrating machine learning and AI capabilities within the Palantir environment for advanced analytics.
Pipeline Orchestration :
- Design and manage data pipelines using
Pipeline Builder and
code repositories .
- Generate applications using
Workshop or
Slate .
Ontology Management :
- Create and manage
ontology objects .
- Analyze data using tools like
Code Workbook ,
Contour , and
Quiver .
Cybersecurity and Data Privacy :
Knowledge of cybersecurity principles and ensuring data privacy and security while working with sensitive information.
Debugging & Trouble shooting
Non Technical:-
·Provide
training and support to end-users to maximize the effective use of Palantir Foundry.
·
Collaborate with stakeholders to identify opportunities for continuous improvement and innovation in data processes and solutions.
·Ensure compliance with
data privacy , security, and regulatory requirements.
·
Self-driven learning of technologies being adopted by the organization.
·Work as part of a team of developers, QA, support staff, and DevOps engineers in a highly collaborative fashion.
Qualifications
Eligibility :
·Bsc IT, IT, or any relevant stream, Relevant Experience: 2-8 yrs in Data Engineering.
·International Travelling:Candidate having
US Business Visa B1/B2 is a plus for occasional visit as per business case.
·Certifications such as
Foundry Application Developer ,
Foundry Data Analyst , or
Foundry Data Engineer are a plus.
·Proficiency in data modeling, ETL processes, and data governance
·Experience with relational databases (Oracle/SQL Server) & Python working knowledge.
·Interest to learn & develop IT skills
·Strong problem-solving skills and attention to detail.
·
Excellent written & verbal communication skills .
·Ready to work
permanently in the 2nd shift
(12:30 pm to 9:00 PM) to get 3-4 hours to coordinate with US Office. This role demands
work from the office . However,
four WFH days given in a Month.
Why Join Us?
·Be part of a dynamic team shaping the future of data-driven decision-making.
·100% Employee Owned & Great Place to Work Company
·Work on challenging projects with global impact.
·Collaborate with top-tier clients across various industries.
·Enjoy a supportive and innovative work environment.
If you’re passionate about data integration, thrive in a collaborative setting, and want to contribute to groundbreaking solutions, we’d love to hear from you! Explore us for exciting opportunities.
Job Construction Services
Primary Location India-Maharashtra-Mumbai
Schedule: Full-time
Travel: No
Req ID: 234907
Job Hire Type Experienced Not Applicable #BMI N/A