Snowflake Data Engineer

ORION SYSTEMS; Mumbai, Chennai District, Pune District; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

ORION SYSTEMS is seeking an experienced data engineer to drive modern data platform initiatives across AI workloads. This role offers hybrid work options and is located in multiple cities across India.

The position emphasizes building scalable ETL/ELT pipelines, cloud-native data warehouse architectures, real-time data integration, and governance while enabling AI/ML workloads with secure, scalable data services.

Qualifications

• 7-12 years of experience in data engineering or similar roles.
• Experience with Snowflake, SQL, Python and cloud-native architectures.
• Proven ability to design scalable data platforms and implement CI/CD.
• Experience with data governance, security, and quality standards.

Responsibilities

• Building scalable ELT/ETL pipelines using Snowflake, SQL, and Python
• Designing cloud-native modern data warehouse and lakehouse architectures
• Developing AI-ready data platforms for ML and Generative AI workloads
• Supporting AI agent frameworks and autonomous workflow orchestration
• Implementing real-time and streaming data integration solutions
• Optimizing Snowflake performance, scalability, and cost efficiency
• Developing reusable data products, APIs, and enterprise data services
• Driving automation, CI/CD, and cloud modernization initiatives
• Ensuring data governance, security, compliance, and data quality standards

Tools

Snowflake

SQL

Python

Cloud platforms

Job description

Experience : 7 -12 years

Location : Pune / Mumbai / Chennai / Coimbatore / Kochi

Notice : Immediate to 30 days

Work Mode : Hybrid

Role & responsibilities

Key focus areas include:

• Building scalable ELT/ETL pipelines using Snowflake, SQL, and Python
• Designing cloud-native modern data warehouse and lakehouse architectures
• Developing AI-ready data platforms for ML and Generative AI workloads
• Supporting AI agent frameworks and autonomous workflow orchestration
• Implementing real-time and streaming data integration solutions
• Optimizing Snowflake performance, scalability, and cost efficiency
• Developing reusable data products, APIs, and enterprise data services
• Driving automation, CI/CD, and cloud modernization initiatives
• Ensuring data governance, security, compliance, and data quality standards

This role offers the opportunity to work on cutting-edge data and AI innovation initiatives, contributing to enterprise-scale digital transformation and emerging AI platform development.