Data Quality Engineer

Role Overview

We are seeking a highly skilled and motivated Data Quality Engineer|| Bangalore with 8+ years of experience. If you're passionate about coding, problem-solving, and innovation, we'd love to hear from you!

About Us

CodeVyasa is a mid-sized product engineering company that works with top-tier product / solutions companies such as McKinsey, Walmart, RazorPay, Swiggy, and others. We are about 550+ people strong and we cater to Product & Data Engineering use-cases around Agentic AI, RPA, Full-stack and various other GenAI areas.

Key Responsibilities

• Design, build, and maintain data pipelines using Python, SQL, and PySpark or ETL tools.
• Develop and optimize ELT / ETL workflows for large-scale datasets.
• Work extensively with Snowflake and data warehousing concepts (schema design, performance optimization, snowpipe, etc.).
• Implement and maintain data quality frameworks , validation checks, reconciliation logic, and automated testing.
• Ensure data accuracy, consistency, and reliability across ingestion, transformation, and consumption layers.
• Collaborate with analytics, BI, and product teams to understand data requirements.
• Implement scalable, secure, and cost-optimized solutions on AWS / GCP / Azure .
• Integrate data pipelines into CI / CD workflows for automated deployment and monitoring.
• Troubleshoot data issues, performance bottlenecks, and pipeline failures.
• Develop documentation for data flows, mapping, and operational processes.

Required Skills & Qualifications

Good to Have

Why Join CodeVyasa?