Data Engineer - Palantir - Contract- Mumbai

Burns & McDonnell India

Mumbai

On-site

INR 700,000 - 900,000

Full time

14 days+

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Benefits offered by this job

100% Employee Owned

Great Place to Work Company

Supportive work environment

Job summary

A leading engineering firm in Mumbai is looking for a Data Engineer to ensure seamless data flow within Foundry. Responsibilities include designing and maintaining robust data pipelines, integrating systems using APIs, and providing training to end-users. Candidates should have 2-8 years of experience in Data Engineering, a BSc in IT or a related field, and proficiency in data modeling. This role offers a dynamic work environment with opportunities for growth and collaboration on impactful projects.

Qualifications

2-8 years of experience in Data Engineering.
Strong proficiency in data modeling and ETL processes.
Excellent written and verbal communication skills.

Responsibilities

Design and maintain robust data pipelines.
Integrate Palantir with other systems using APIs.
Provide training and support to end-users.

Skills

Data Integration

Python

Problem-solving

Attention to detail

Communication

Education

BSc IT or relevant field

Tools

Oracle

SQL Server

Palantir

Job 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 Integration: 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

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 visits as per business case.
Certifications such as Foundry Application Developer, Foundry Data Analyst, or Foundry Data Engineer.
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 coordinate with US office. This role demands work from the office with four WFH days per month.

Why Join Us