Data Engineer

Role Overview

We are looking for an experienced Data Engineer

with

6

+ years of hands-on experience , Location -Bangalore

About Us

CodeVyasa is a mid-sized product engineering company that works with top-tier product and solutions organizations such as McKinsey, Walmart, RazorPay, Swiggy, and others. We are a team of 850+ engineers, driving innovation across Product & Data Engineering, focusing on Agentic AI, RPA, Full Stack, and GenAI-based solutions.

Must-Have Skills

Snowflake

– Strong hands-on experience with data warehousing and performance optimization

SQL

– Advanced SQL, complex queries, joins, CTEs, window functions, query optimization

Python

– Strong programming and data engineering experience

PySpark

– Hands-on experience in large-scale data processing

dbt

– Development of data transformation pipelines and models

ETL/ELT

– Strong experience designing and developing reliable data pipelines

Data Modeling

– Experience with dimensional modeling, fact/dimension tables, and schema design

Git

– Version control, branching, pull requests, and collaborative development

Key Responsibilities

• Design, develop, and maintain scalable

ETL/ELT data pipelines

.

• Develop data transformation workflows using

Python, PySpark, and dbt

.

• Build and optimize data models in

Snowflake

.

• Write complex and optimized

SQL queries

for data processing and analytics.

• Implement data quality, validation, and reconciliation processes.
• Optimize Snowflake queries, workloads, and data storage for performance and cost.
• Work with business and analytics teams to understand data requirements.
• Maintain code using

Git

and follow standard development practices.

• Troubleshoot pipeline failures and resolve data quality/performance issues.
• Contribute to data architecture, modeling, and engineering best practices.

Why Join Us?

• Work on innovative, high-impact projects with leading global clients.
• Exposure to large-scale Data Science, AI, and Analytics initiatives.
• Continuous learning and upskilling opportunities through internal and external programs.
• Supportive and collaborative work culture with flexible policies.
• Competitive salary and comprehensive benefits package.
• Free healthcare coverage for employees and dependents.

• 6+ years of hands-on experience
• Snowflake - strong hands-on experience with data warehousing and performance optimization
• Advanced SQL - complex queries, joins, CTEs, window functions, query optimization
• Python - strong programming and data engineering experience
• PySpark - hands-on experience in large-scale data processing
• dbt - development of data transformation pipelines and models
• ETL/ELT - strong experience designing and developing reliable data pipelines
• Data modeling - dimensional modeling, fact/dimension tables, schema design
• Git - version control, branching, pull requests, collaborative development