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 adaptable policies. Competitive salary and comprehensive benefits package. Free healthcare coverage for employees and dependents.

📌 Data Engineer (India)
🏢 MNC
📍 India