Snowflake Data Engineer

Overall Experience: 5+ years of experience in Snowflake and Python. Knowledge of Power BI is an added advantage.

Experience of 4+ 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, or GCP.

Good hands-on knowledge of Snowflake is a must. Experience with various data ingestion methods (Snowpipe and others), Time Travel, data sharing, and other Snowflake capabilities.

Good knowledge of Python/PySpark, advanced features of Python.

Support business development efforts (proposals and client presentations).

Knowledge of EBS modules like Finance, HCM, and Procurement will be an added advantage.

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.