Senior Data Engineer

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 environment.
• 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.