F2F -Hiring Alert ! EPAM ! Sr Snowflake Data Engineer -Bangalore!

Epam Systems; Chennai District, Coimbatore District, Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

EPAM Systems is seeking a Senior Snowflake Data Engineer to join our data engineering team. Location: All India EPAM, with a Bangalore-face-to-face interview on 17 Oct. 5+ years of experience in data engineering and Snowflake expertise are required.

The role focuses on designing scalable data pipelines, Snowflake deployments on AWS/Azure, and integrating with DBT, Airflow, and Cortex AI for advanced analytics. Collaboration with data scientists is essential.

Qualifications

• 5+ years of data engineering experience with Snowflake
• Proficiency in Snow SQL, Snow PLSQL and Snowpark
• Strong Python for data applications
• Experience with AWS and/or Azure cloud services
• Familiarity with Airflow and DBT

Responsibilities

• Design and implement robust Snowflake data pipelines
• Develop and optimize Snow SQL/PLSQL queries
• Build data applications using Snowpark
• Deploy Snowflake on AWS/Azure
• Integrate Snowflake with cloud services
• Establish data governance and security practices
• Maintain data workflows with Airflow
• Use DBT for data transformation
• Monitor data quality and performance
• Collaborate with data scientists to productionize ML
• Leverage Snowflake Cortex AI for analytics

Skills

Snowflake

SQL

DBT

Python

Cloud

Cortex

Tools

Snowpark

Apache Airflow

AWS

Azure

Snowflake Cortex AI

Job description

Dear Candidate,

Greetings from EPAM Systems -INDIA !!

We are planning for a face to face DRIVE at EPAM Bangalore Premises. We are seeking an Experienced Snowflake DATA Engnieer.

Role Need:

Location : All India EPAM

Interview Mode -Bangalore Face to Face -17oct-26 - Saturday .

Years of Experience -5+years.

We are seeking an experienced Senior Snowflake Data Engineer to join our data engineering team and drive the design, development and maintenance of scalable data solutions using Snowflake's cloud data platform. This role requires expertise in modern data engineering practices, cloud technologies and AI/ML integration within the Snowflake ecosystem.

Responsibilities

• Design and implement robust data pipelines using Snowflake's native capabilities
• Develop and optimize complex queries using Snow SQL and Snow PLSQL
• Build scalable data applications using the Snowpark framework
• Deploy and manage Snowflake environments on AWS and Azure cloud platforms
• Integrate Snowflake with various cloud services and data sources
• Establish security best practices and data governance frameworks
• Optimize cloud resource utilization and cost management
• Maintain data workflows using Apache Airflow
• Create data transformation pipelines using DBT
• Monitor data quality, reliability and performance across pipelines
• Leverage Snowflake Cortex AI for advanced analytics and machine learning use cases
• Collaborate with data scientists to productionize ML models

Requirements

Must have : Snowflake, Sql, DBT, Python, cloud, Cortex (nice to have).

• 5 to 17 years of experience in data engineering including 5+ years of hands‑on experience with Snowflake
• Proficiency in Snow SQL, Snow PLSQL and Snowpark for query development, stored procedures and Python-based data applications
• Advanced skills in Python programming with a focus on data engineering
• Proficiency in AWS and/or Azure cloud services
• Familiarity with Apache Airflow for workflow orchestration and DBT for data transformation and modeling
• Background in Snowflake Cortex AI for native AI and ML capabilities