Palantir Data Engineer

Tata Consultancy Services; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Tata Consultancy Services in Bengaluru is seeking a Data Engineer with 4+ years of experience to design, build, and optimize our data ecosystem using Palantir Foundry. You will focus on data ingestion, transformation, and integration to deliver trustworthy data for analytics and ML.

Key responsibilities include developing scalable data pipelines, ontology maintenance, and collaborating with cross-functional teams to meet business requirements. Strong Python and PySpark skills are essential.

Qualifications

• Must have 4+ years of experience with Palantir Foundry and data engineering concepts.
• Experience with Python and PySpark.
• Hands-on experience with Palantir Foundry tools and data integration.

Responsibilities

• Design, build, and optimize the data ecosystem within Palantir Foundry.
• Ingest, transform, and enrich data from diverse sources.
• Develop robust data pipelines for reliable data flow and analytics.
• Contribute to ontology development and data modeling within Foundry.
• Collaborate with cross-functional teams to meet business requirements.
• Address data quality, access, and performance issues.
• Contribute to potential application development and data analytics initiatives.

Skills

Python

Pyspark

BI tools

SQL

Tools

Data Connection

Ontology

Code Workbook

Code Repository

Contour

Quiver

Workshop

Slate

Job description

Experience- 4+ Years

Must have: Palantir & Good understanding of Database Design, Data Modeling, and Data Warehousing concepts.

Job Description:

Role & responsibilities:

• The Data Engineer is responsible for designing, building, and optimizing our data ecosystem. With a focus on delivering high-quality and trustworthy data, the Data Engineer's responsibilities include:
• Data Ingestion and Transformation: Ingesting data from various sources, transforming, cleaning, and enriching it for use in Palantir Foundry.
• Data Pipeline Development: Designing and implementing robust and scalable data pipelines to ensure data flow within Foundry.
• Ontology Development: Contributing to the development and maintenance of the data ontology within Foundry.
• Data Integration: Integrating diverse data sources into Palantir Foundry using its data connectors.
• Collaboration: Working with cross-functional teams to understand business requirements and develop solutions using Palantir Foundry.
• Problem Solving: Identifying and resolving issues related to data quality, access, and performance.
• Application Development: Potentially contributing to the development of applications within the Foundry ecosystem.
• Data Analytics: Leveraging data analytics and machine learning for insights and solutions.
• Knowledge Sharing: Stay at the forefront of Big Data technology evolution and ensure this knowledge is disseminated across the organization. Promote best practices, stablished standards, governed processes, and the adoption of the latest technologies.

Must have skills:

• Expertise and experience in Python and Pyspark (at least 4 years of experience)
• Experience with BI tools, SQL queries, and organizing and analyzing data
• Should have working knowledge and hands-on experience on the following Palantir Tools - Data Connection, Ontology, Code Workbook/Code Repository, Contour, Quiver, Workshop and Slate.

Note: EX-TCS employees are not eligible to apply.