Role Summary
We are looking for an experienced Data Engineer with strong expertise in GCP, BigQuery, Dataflow, ETL, Datawarehouse, Java/Python willing to work from Chennai / Pune / Coimbatore , Bangalore having 7+yrs of experience.

Final Round will be Face to Face

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 550+ engineers, driving innovation across Product Engineering and Data Engineering, with a focus on Agentic AI, Robotic Process Automation (RPA), Full Stack Development, and Generative AI-based solutions.

Key Responsibilities
Design, develop, and optimize scalable data pipelines on Google Cloud Platform (GCP).
Build and maintain ETL/ELT workflows for processing large-scale datasets.
Develop and manage data warehouse solutions using BigQuery.
Implement batch and streaming data processing using Dataflow.
Collaborate with cross-functional teams to understand business requirements and deliver data solutions.
Ensure data quality,



integrity, security, and performance across data platforms.
Optimize SQL queries and data models for reporting and analytics.
Troubleshoot production issues and support ongoing enhancements.

Required Skills
Strong hands-on experience with Google Cloud Platform (GCP).
Expertise in BigQuery and Dataflow.
Experience in designing and developing ETL pipelines.
Strong understanding of Data Warehouse concepts and implementation.
Proficiency in Java and/or Python.
Strong SQL and data modeling skills.
Experience working with large-scale structured and unstructured datasets.

Why CodeVyasa
Work on creative, high-impact projects with leading global clients.
Exposure to modern technologies, scalable systems, and cloud-native architectures.
Continuous learning and upskilling opportunities through internal and external programs.
Supportive and collaborative work culture with flexible policies.
Compet

📌 Data Engineer (India)
🏢 CodeVyasa
📍 India