Job Description
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.
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).2. 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.3. Pipeline Orchestration:
Design and manage data pipelines using Pipeline Builder and code repositories.
Generate applications using Workshop or Slate.4. Ontology Management:
Create and manage ontology objects.
Analyze data using tools like Code Workbook, Contour, and Quiver.
Debugging & Trouble shooting
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
Bsc IT, IT, or any relevant stream, Relevant Experience: 2-8 yrs in Data Engineering.
2 years+ of Palantir experience
Knowledge of cybersecurity principles and ensuring data privacy and security while working with sensitive information.
Certifications such as Foundry Application Developer, Foundry Data Analyst, or Foundry
Proficiency in data modeling, ETL processes, and data governance
Experience with relational databases (Oracle/SQL Server) & Python working knowledge.
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.
Nice to Have Skills & Experience
International Travelling: Candidate having US Business Visa B1/B2 is a plus for occasional visit as per business case.
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.