Job Description

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.