Senior Software Engineer - Data Intelligence

Sysvine Technologies; Chennai District; On-site; INR 1,800,000 - 4,200,000; Full time

Job summary

Sysvine Technologies seeks an experienced Data Engineer to design, build, and optimize modern ETL/ELT pipelines using Snowflake, DBT, and Airflow in a data-driven environment that emphasizes automation and scalable infrastructure.

Collaborate with analysts and data scientists to translate requirements into reliable data solutions, ensure data quality and governance, and optimize performance and cost. 5–10 years of experience and strong SQL skills are required.

Qualifications

• 5–10 years of experience in data engineering, with Snowflake or similar warehouse/ETL platforms.
• SQL skills and experience building analytical data models.
• Hands-on 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.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines using Airflow, Python, and DBT.
• Build and optimize data models in Snowflake to support analytics and 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.

Skills

SQL

Data modeling

Performance tuning

Data orchestration

Analytical thinking

Tools

Snowflake

Airflow

DBT

Python

Job description

Hot Duties:

Data engineering is evolving fast, and so is how we build pipelines. You'll work with a modern data stack (Snowflake, DBT, Airflow) in an environment that embraces AI-assisted development and automation. This isn't about maintaining legacy ETL jobs. It's about building scalable, efficient 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