Role & responsibilities

- Design, develop, and optimize scalable data pipelines for ETL/ELT processes.
- Develop and maintain Python-based data processing scripts and automation tools.
- Write and optimize complex SQL queries (preferably in Snowflake) for data transformation and analytics.
- Experience with Jenkins or other CI/CD tools.
- Experience developing with Snowflake as the data platform.
- Experience with ETL/ELT tools (preferably Fivetran, dbt).
- Implement version control best practices using Git or other tools to manage code changes.
- Collaborate with cross-functional teams (analysts, product managers, and engineers) to understand business needs and translate them into technical data solutions.
- Ensure data integrity, security, and governance across multiple data sources.
- Optimize query performance and database architecture for efficiency and scalability.
- Lead troubleshooting and debugging efforts for data-related issues.
- Document data workflows,



architectures, and best practices to ensure maintainability and knowledge sharing.

Preferred candidate profile

- 5+ years of experience in Data Engineering, Software Engineering, or a related field.
- Bachelors or masters degree in computer science, Computer Engineering, or a related discipline
- High proficiency in SQL (preferably Snowflake) for data modeling, performance tuning, and optimization.
- Strong expertise in Python for data processing and automation.
- Experience with Git or other version control tools in a collaborative development setting.
- Strong communication skills and ability to collaborate with cross-functional teams for requirements gathering and solution design.
- Experience working with large-scale, distributed data systems and cloud data warehouse.

📌 Senior Data Engineer (Bengaluru)
🏢 Eagleview
📍 Bengaluru