Senior Data Engineer

Epergne Solutions; Delhi; Remote; INR 4,000,000 - 7,000,000; Full time

Job summary

A technology solutions provider is seeking a Senior Data Engineer to design scalable data models and maintain robust data pipelines. The ideal candidate should have over 10 years of experience in data engineering, with strong expertise in data modeling and architecture. You will work with business and analytics teams to ensure data quality and support various analytics requirements. Essential skills include proficiency in SQL and hands-on experience with Palantir Foundry. This position is remote, offering flexibility in location.

Qualifications

• 10+ years of experience in Data Engineering.
• Strong hands-on experience with data modeling and data architecture.
• Experience with large and complex datasets.

Responsibilities

• Design and develop scalable data models across multiple data sources.
• Build and maintain data pipelines and data integration workflows.
• Ensure data quality, consistency, and governance across data platforms.
• Collaborate with data, analytics, and business teams to enable reporting and analytics.
• Ensure data quality, governance, and consistency across platforms.
• Support analytics, reporting, and data science use cases.

Skills

Data Engineering (ETL/ELT, data pipelines)

Data modeling

Data architecture

SQL

Data integration

Data governance

Tools

Palantir Foundry

Job description

Job Title: Senior Data Engineer ? Data Modeling & Architecture

Experience: 10+ Years

Location: Remote / India

Job Summary

We are looking for a Senior Data Engineer with strong experience in data modeling and data architecture. The ideal candidate should have experience working with complex data from multiple systems and building scalable data models that support analytics and business insights.

Key Responsibilities

• Design and develop scalable data models across multiple data sources.
• Build and maintain data pipelines and data integration workflows.
• Transform and standardize data from different systems into a unified structure.
• Work with data, analytics, and business teams to support reporting and analytics needs.
• Ensure data quality, consistency, and governance across data platforms.
• Support data solutions for analytics, reporting, and data science use cases.

Required Skills

• Strong experience in Data Engineering (ETL/ELT, data pipelines)
• Expertise in data modeling and data architecture
• Hands‑on experience with Palantir Foundry and ontology development
• Strong SQL skills and experience with modern data platforms
• Experience working with large and complex datasets
• Good understanding of data integration and data governance