Senior Data Engineer / Lead Data Engineer - Snowflake Developer

Epam Systems; Chennai; Hybrid; INR 900,000 - 1,800,000; Full time

Job summary

EPAM Systems in Chennai is seeking passionate Data Engineers to design, build, and maintain robust data pipelines, data warehouses, and data lakes using Snowflake and DBT.

You'll write complex SQL, develop Python-based ingestion and transformation frameworks, and work with AWS or Azure to integrate storage and analytics services.

Join a team focused on data quality, governance, and scalable solutions, collaborating with architects and business stakeholders to drive insights.

Qualifications

• Experience designing and maintaining data pipelines and warehouses.
• Proficient in Snowflake, DBT, Python and SQL.
• Hands-on cloud experience with AWS or Azure.
• Strong focus on data quality, governance, and performance.
• Ability to translate business requirements into scalable data solutions.

Responsibilities

• Design, develop, and maintain data pipelines, data warehouses, and data lakes using Snowflake and DBT.
• Write efficient SQL queries and optimize for large-scale processing.
• Build automated data ingestion, transformation, and validation frameworks with Python.
• Collaborate with architects and stakeholders to translate requirements into data solutions.
• Ensure data quality, security, and governance across pipelines.

Skills

Snowflake

DBT

Python

SQL

AWS

Azure

Tools

DBT

Python

Snowflake

AWS

Azure

SQL

Job description

About EPAM Systems:

EPAM Systems, Inc. is a leading global provider of digital platform engineering and development services. We are committed to building a better future through our people, innovation, and customer success. We are looking for passionate, experienced Data Engineers to join our growing data practice.

Role & Responsibilities:

• Design, develop, and maintain robust data pipelines, data warehouses, and data lakes using Snowflake and DBT (Data Build Tool).


• Write efficient, complex SQL queries and optimize performance for large-scale data processing.


• Build automated data ingestion, transformation, and validation frameworks using Python.


• Work with cloud platforms (AWS or Azure) to integrate storage, compute, and serverless data services.


• Collaborate with architects, analysts, and stakeholders to understand business requirements and translate them into scalable data solutions.


• Ensure data quality, security, and governance standards across all pipelines.

Mandatory Technical Skills:

• Data Warehousing & Modeling: Snowflake (Advanced SQL, Snowpark, performance tuning, clustering, multi-cluster warehouses).


• Transformation & Orchestration: DBT (Models, tests, documentation, incremental models, macros).


• Programming: Python (scripting, data manipulation, automation).


• Database & Querying: Advanced SQL.


• Cloud Platforms: Hands-on experience in AWS (S3, IAM, Lambda, Glue/Redshift) or Azure (ADLS Gen2, Azure Data Factory, Databricks).

• Event Date: 24-October-2026 (Friday) - Chennai - EPAM Systems


• Interview Mode: Face-to-Face (F2F)


• Important Note: Only shortlisted candidates will be called for the face-to-face interview. If your profile matches the criteria and you are shortlisted, our talent acquisition team will share the exact venue address, reporting time, and slot details via email/call.