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.