Hot Duties:

Data engineering is evolving fast, and so is how we build pipelines. You'll work with a contemporary data stack (Snowflake, DBT, Airflow) in an setting that embraces AI-assisted development and automation. This isn't about maintaining legacy ETL jobs. It's about building scalable, productive data infrastructure that powers real decisions. As the data landscape grows, so does your career here, along with the compensation to match.

Duties:
Design, develop, and maintain ETL/ELT pipelines using Airflow, Python, and DBT
Build and optimize data models in Snowflake to support analytics, reporting, and downstream ML/AI use cases
Implement data quality, validation, and governance best practices
Partner with analysts, data scientists, and business stakeholders to translate requirements into reliable data solutions
Monitor, debug,



and optimize workflows for performance and cost efficiency
Manage integrations across APIs, databases, and third-party systems
Contribute to automating data infrastructure deployment and management

Requirements:
5 to 10 years of experience in data engineering, working with Snowflake or similar data warehouse/ETL platforms
SQL skills and experience building analytical data models
Hands-on experience with Snowflake development and performance tuning
Familiarity with Apache Airflow for orchestrating data workflows
Working knowledge of DBT for modular, maintainable data transformations
(Optional) Experience with Python or another scripting language for data tasks

📌 Senior Software Engineer Data Intelligence Snowflake Chennai (India)
🏢 Sysvine Technologies
📍 India