Senior Data Engineer

Epergne Solutions; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A leading data solutions company is seeking a Senior Data Engineer to work remotely from India. Responsibilities include designing scalable data models and maintaining data pipelines to ensure high-quality data integration. Candidates should have over 10 years of experience with data engineering, expertise in data modeling, and strong SQL skills. The ideal candidate will work closely with analytics and business teams to meet reporting and analytical needs while supporting data quality and governance standards.

Qualifications

• 10+ years of experience in Data Engineering.
• Strong expertise in data modeling and architecture.
• Hands-on experience with relevant data platforms.

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.
• Support reporting and analytics needs.
• Ensure data quality, consistency, and governance.

Skills

Data Engineering (ETL/ELT, data pipelines)

Data modeling and data architecture

Palantir Foundry & ontology development

Strong SQL skills

Large and complex datasets

Data integration and data governance

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