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.

- Strong 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.