Snowflake/Python Developer - Data Engineering (India)

Job Overview: We are looking for an experienced Snowflake Python Developer with 5 years of IT experience and strong expertise in Snowflake Data Warehouse, Advanced SQL, and Python. The ideal candidate should have hands-on experience in developing scalable data solutions, building data pipelines, and working with cloud-based data warehouse platforms. Key Responsibilities: - Design, develop, and maintain data solutions using Snowflake Data Warehouse. - Develop and optimize complex SQL queries for data transformation and processing. - Write robust and reusable Python scripts and applications for data processing and automation. - Develop and maintain ETL/ELT workflows for loading and transforming data in Snowflake. - Analyze business and technical requirements and translate them into scalable data solutions. - Perform data extraction, transformation, cleansing, and validation. - Optimize Snowflake queries, workloads, and data models for performance and cost efficiency. - Troubleshoot data pipeline, SQL, and application-related issues. - Develop automated processes using Python to improve data engineering workflows. - Work with cross-functional teams including data engineers, architects, analysts, and business stakeholders. - Perform unit testing, integration testing, and data validation. - Participate in code reviews and follow development best practices. - Support production deployments and resolve data-related issues. - Maintain technical documentation for data pipelines, SQL processes, and solutions. Mandatory Skills & Experience: - 5 years of IT experience. - Solid hands-on experience with Snowflake Data Warehouse. - Advanced knowledge of SQL and complex query development. - Strong programming skills in Python. - Experience with ETL/ELT and data warehousing concepts. - Good understanding of data modeling and database concepts. - Experience in performance tuning and query optimization. - Strong analytical and problem-solving skills. Good to Have: - Experience with cloud platforms such as AWS, Azure, or GCP. - Knowledge of Snowflake features such as Snowpipe, Streams, Tasks, and Stored Procedures. - Experience with data integration and orchestration tools. - Knowledge of Git and CI/CD practices. - Experience working in Agile development environments. - Exposure to large-scale enterprise data engineering projects. .