Lead Snowflake Data Engineer

V2 Solutions; Hyderabad; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

EPAM Systems in Hyderabad invites a Lead Snowflake Data Engineer to own and evolve our data warehouse capabilities. You will design scalable Snowflake models, implement DBT-based pipelines, and collaborate with cross-functional teams to deliver reliable analytics.

The role focuses on performance, security, and observability, utilizing AWS, Python, SQL, and PySpark to build robust data flows. On-site work with a dynamic team in a fast-paced environment offering growth opportunities.

Qualifications

• Experience building data warehouses on Snowflake with DBT.
• Strong data modeling skills including Snowflake schemas and data vault.
• Hands-on experience with cloud platforms (AWS) and Python.

Responsibilities

• Design and implement scalable Snowflake data models for analytics.
• Develop and maintain ETL pipelines integrating multiple data sources.
• Tune queries and manage partitions for performance.
• Ensure data security, RBAC, and masking within Snowflake.
• Automate pipelines with dbt and Apache Airflow.
• Collaborate with data scientists and analysts; document workflows.

Skills

Snowflake

DBT

AWS

Python

SQL

PySpark

Tools

Airflow

Argo

Oozie

Job description

# Lead Snowflake Data EngineerEPAM SystemsPosted on August 19, 2026---Experience8 - 13 yrsSalary (CTC)₹15L - ₹30LJob LocationHyderabad, IndiaVacancy1DesignationSnowflake Data EngineerJob TypeONSITE---## Job Description**Job title:** Lead **Snowflake Data Engineer****Primary Skill:** **Snowflake (Snow SQL, Snow PLSQL and Snowpark, SNowflake DBT)****Location: Coimbatore** **Key Skills:****Main Technology Focus*** **Snowflake with strong hands-on experience inDBT*** **AWS, Python, SQL, PySpark*** **Data engineering set-up with strong programming skills** **Requirements:*** **Looking for engineer for information warehouse*** **Warehouse is based on AWS/Azure, DBT, Snowflake.*** **Strong programming experience with Python.*** **Experience with workflow management tools like Argo/Oozie/Airflow.*** **Experience in Snowflake modelling - roles, schema, databases*** **Experience in data Modeling (Data Vault).*** **Experience in design and development of data transformation pipelines using the DBT framework.*** **Experience with Cloud providers, preferably AWS*** **The warehouse must be scalable, secure and well performant. The solution should be reusable and support future use cases.*** **This will be used as storage layer for the platform*** **Essential part of the warehouse is integration with monitoring and observability capabilities.** **Responsibilities:*** **Snowflake Data Modeling: Design and implement scalable Snowflake data models, optimized for data ingestion and analytics requirements.*** **ETL Pipeline Development: Build and maintain robust ETL pipelines to integrate data from multiple sources into Snowflake, ensuring data integrity and consistency.*** **Performance Optimization: Optimize Snowflake usage and storage, tuning query performance and managing data partitions to ensure quick, reliable access to data.*** **Data Security & Governance: Implement best practices in data security, role-based access control, and data masking within Snowflake to maintain compliance and data governance standards.*** **Automation & Workflow Management: Utilize tools such as dbt and Apache Airflow to schedule data processing and automate pipeline monitoring.*** **Collaboration & Troubleshooting: Partner with data scientists, business analysts, and other stakeholders to address complex data challenges and troubleshoot Snowflake-related issues effectively.*** **Documentation & Reporting: Develop comprehensive documentation for data structures, ETL workflows, and system processes to ensure transparency and knowledge sharing within the team.**