Snowflake Data Engineer

Overall Experience: 5+ years of experience in Snowflake and Python.

- Experience of 5+ years in data preparation.

- BI projects to understand business requirements in BI context and understand data model to transform raw data into meaningful data using snowflake and Python.

- Designing and creating data models that define the structure and relationships of various data elements within the organization.

- This includes conceptual, logical, and physical data models, which help ensure data accuracy, consistency, and integrity.

- Designing data integration solutions that allow different systems and applications to share and exchange data seamlessly.

- This may involve selecting appropriate integration technologies, developing ETL (Extract, Transform, Load) processes, and ensuring data quality during the integration process.

- Create and maintain optimal data pipeline architecture.

- Good knowledge of cloud platforms like AWS/Azure/GCP.

- Good hands-on knowledge of Snowflake is a must.

- Experience with various data ingestion methods (Snow pipe & others), time travel and data sharing and other Snowflake capabilities.

- Good knowledge of Python/Py Spark, advanced features of Python.

- Support business development efforts (proposals and client presentations).

- Ability to thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success.

- Excellent leadership and interpersonal skills.

- Eager to contribute to a team-oriented environment.

- Strong prioritization and multi-tasking skills with a track record of meeting deadlines.

- Ability to be creative and analytical in a problem-solving environment.

- Effective verbal and written communication skills.

- Adaptable to new environments, people, technologies, and processes.

- Ability to manage ambiguity and solve undefined problems.