Snowflake(Python, Reporting)

Snowflake(Python, Reporting)

Technology- Snowflake, Python, Reporting, Airflow, DBT, AWS, Azure, Data Modeling Preferred Qualifications: • Experience with Snowflake advanced capabilities such as Time Travel, Streams & Tasks, Secure Data Sharing, and data governance features. • Strong Python engineering practices including modular design, testing, logging, and building reusable utilities for data processing. • Experience designing reporting-friendly data models (star/snowflake schemas) and enabling self-service analytics through well-documented datasets. • Exposure to orchestration and automation approaches to schedule, monitor, and recover pipelines reliably at scale. • Demonstrated technical leadership through mentoring, solution design ownership, and driving best practices across teams. Key Responsibilities: • Lead end-to-end implementation of Snowflake-based data solutions, including architecture, development, and production rollout. • Design and build scalable ELT/ETL pipelines using Python to ingest, transform, and validate data from multiple sources. • Develop and optimize Snowflake objects (schemas, tables, views) and implement efficient data modeling patterns for analytics and reporting. • Ensure performance tuning and cost optimization in Snowflake through clustering strategies, query optimization, and warehouse sizing best practices. • Build and maintain robust data quality checks, reconciliation processes, and automated monitoring for pipeline reliability. • Partner with reporting and analytics stakeholders to translate business requirements into curated datasets and reporting-ready layers. • Establish coding standards, review pull requests, and mentor team members to improve engineering quality and delivery consistency. • Drive secure data access patterns, role-based controls, and governance practices aligned with organizational needs. • Collaborate with cross-functional teams to plan releases, manage dependencies, and ensure timely delivery across initiatives. Minimum Qualifications: • BTECH, MTECH, MCA, or MSC in Computer Science, Information Technology, or a related field. • 7–9 years of overall experience with strong hands-on expertise in Snowflake and Python for data engineering use cases. • Proven experience designing and implementing data pipelines and transformation logic for analytics and reporting consumption. • Strong SQL skills with experience in building performant queries and maintaining data models in Snowflake. • Experience supporting reporting needs by delivering curated datasets, semantic-ready views, or reporting layers.