Data Engineer - Snowflake DB

Description :

Job Title : Snowflake Data Engineer

Location : PAN India

Experience : 710 years

Key Responsibilities :

- Data Solution Design

Create and implement data warehouses, data lakes, and robust data models on the Snowflake platform.

- ETL/ELT Pipeline Development

- Design, develop, and optimize pipelines for extracting, transforming, and loading data from diverse sources.

- Performance Tuning & Optimization

- Utilize Snowflake features such as micro-partitions, clustering, and virtual warehouses to enhance scalability and performance.

Data Modeling

- Design and maintain efficient data models and stored procedures to support reporting and analytics.

- Expert in Snowflake architecture, features, and functionalities.

- SQL: Advanced proficiency in writing complex and optimized queries.

- Data Modeling: Strong understanding of data warehousing, star schema, and dimensional modeling.

- ETL/ELT Tools: Experience with dbt, Snowpark, PySpark, or AWS Glue for pipeline automation.

- Programming: Proficiency in Python for data processing and automation.

- Cloud Platforms: Familiarity with AWS or other cloud services for scalable solutions.

- BI Tools: Tableau, Power BI, or similar tools for analytics and visualization.

- Version Control: Experience with Git or other version control systems.

Primary Skills :

- Liaise and communicate effectively with senior technical stakeholders.

- Perform analysis and data modeling required in Snowflake.

- Estimate implementation efforts and define technical plans.

- Lead and manage the implementation team (Data Engineers and Qlik report developers) on a day-to-day basis.

- Ensure deliverables meet quality, performance, and scalability standards