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# Sr Data Engineer (CONTRACT)

- **Company:** Wipro Limited
- **Location:** Syracuse, NY, United States
- **Experience:** Expert
- **Salary:** $60,000.0 - $135,000.0
- **Contract:** Permanent contract
- **Skills:** Geographic Information Systems, Artificial Intelligence, ArcGIS (Software), Microsoft Azure, Big Data, Extract Transform Load (ETL), Database Queries, Human-Computer Interaction, Microsoft SQL Server, Operational Data Store, Azure Active Directory, Spatial Data Infrastructures, TypeScript, Azure Data Factory, Snowflake, Pyspark, Data Pipelines, Databricks
- **Published:** September 17, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3433400ffa1304ba

## About the Role

Minimum 1 Year of experience with Palantir Foundry
Strong hands-on experience with PySpark and Databricks
Experience with TypeScript
Strong SQL skills (Snowflake, MSSQL, ODS)
Experience with Azure data platforms / Azure stack
Experience building enterprise ETL / ELT pipelines
Familiarity with geospatial / GIS data
Strong communication and problem-solving skills

Mandatory Skills: Palantir .

Experience: 5-8 Years .

## Description

The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed client’s expectations and add value to business., Lead development and implementation of custom solutions through thoughtful use of modern AI technology
Review and evaluate the use cases and decide whether a product can be developed to add business value
Create the overall product development strategy and integrating with the larger interfaces
Create AI models and framework and implement them to cater to a business problem
Draft the desired user Interface and create AI models as per business problem
Analyze technology environment and client requirements to define product solutions using AI framework/ architecture
Implement the necessary security features as per product’s requirements
Review the used case and see the latest AI that can be used in product’s development
Identify problem areas and perform root cause analysis and provide relevant solutions to the problem
Tracks industry and application trends and relates these to planning current and future AI needs
Create and delegate work plans to the programming team for product development
Interact with Holmes advisory board for knowledge sharing and best practices
Responsible for developing and maintaining client relationships with the key strategic partners and decision makers
Drive discussions and provide consultation around product design as per customer needs
Participate in client interactions and gather insights regarding product development
Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements
Assist in product’s demonstration and receive feedback from the client
Design presentations for seminars, meetings and enclave primarily focused over product
Team Management
Resourcing
Forecast talent requirements as per the current and future business needs
Hire adequate and right resources for the team
Talent Management
Ensure adequate onboarding and training for the team members to enhance capability & effectiveness
Build an internal talent pool and ensure their career progression within the organization
Manage team attrition
Drive diversity in leadership positions
Performance Management
Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports
Ensure that the Performance Nxt is followed for the entire team
Employee Satisfaction and Engagement
Lead and drive engagement initiatives for the team
Track team satisfaction scores and identify initiatives to build engagement within the team

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Deliver

No. Performance Parameter Measure

 1. Continuous technical project management & delivery Adoption of new technologies, IP creation, MVP creation, Number of patents filed, Research papers created
 2. Client Centricity No. of automation done, On-Time Delivery, cost of delivery, optimal resource allocation
 3. Capability Building & Team Management % trained on new age skills, Team attrition %, Number of webinars conducted (internal/external), Build, enhance, and optimize Palantir Foundry pipelines, including Code Workbooks and Transforms
Develop and maintain Foundry Ontology objects, properties, and links
Design and implement scalable data pipelines using PySpark and Databricks
Develop workflow or platform logic using TypeScript
Integrate large-scale datasets across Snowflake, ODS, ArcGIS, Azure, and other enterprise systems
Support geospatial data processing and spatial data transformations
Ensure strong data quality, governance, lineage, and access controls