Snowflake (Python, SQL) Developer

Snowflake (Python, SQL) Developer

Technology- Snowflake, python, SQL,Data modeling, ETL/ELT best practices, Performance tuning, Data quality frameworks, CI/CD for data pipelines Preferred Qualifications: • Experience designing scalable data models (dimensional, denormalized, or domain-oriented) for analytics consumption. • Proven ability to lead technical discussions with stakeholders and translate requirements into implementable designs. • Experience building reusable Python modules and maintaining high code quality through testing and reviews. • Knowledge of data governance concepts such as access controls, auditing, and data lifecycle management within Snowflake. • Track record of improving pipeline reliability and performance through monitoring, optimization, and automation. Key Responsibilities: Technical Leadership & Delivery • Lead end-to-end implementation of Snowflake-based data platforms, from design to production rollout. • Own technical planning, estimation, and execution for data engineering initiatives aligned to business goals. • Mentor team members through code reviews, design reviews, and engineering best practices. Snowflake Development • Design and implement Snowflake schemas, warehouses, and data models optimized for analytics and reporting workloads. • Develop and tune Snowflake SQL for performance, cost efficiency, and scalability. • Implement secure data access patterns using roles, grants, and governance controls. Python Data Engineering • Build robust Python-based ingestion and transformation components for batch and incremental processing. • Create reusable utilities for validation, logging, error handling, and operational monitoring. • Ensure data quality through automated checks, reconciliation, and exception management. Operational Excellence • Establish standards for deployment, observability, and incident response for data pipelines and Snowflake workloads. • Troubleshoot production issues, perform root-cause analysis, and drive continuous improvements. Minimum Qualifications: • BTECH, MTECH, MCA, or MSC in Computer Science, Engineering, or a related field. • 7–9 years of overall experience in data engineering / data platform development. • Strong hands-on expertise in Snowflake including performance tuning and workload optimization. • Strong hands-on expertise in Python for building data pipelines and automation. • Advanced SQL skills for complex transformations, optimization, and analytics-ready modeling.