Data Engineer - Snowflake DB (4-10 yrs)

SN Responsibility of / Expectations from the Role :

- Design, develop, and maintain scalable data pipelines for extracting, transforming, and loading data from various sources to ensure seamless data flow and accessibility.

- Collaborate with cross-functional teams to integrate data from multiple disparate sources, ensuring consistency, accuracy, and reliability of data.

- Optimize data processing workflows and storage solutions for performance, scalability, and cost-efficiency

- Implement data quality checks and validation processes to ensure the accuracy, completeness, and consistency of data throughout the data lifecycle.

- Monitor the performance of data pipelines and infrastructure, identifying and resolving issues to maintain system stability and reliability

- Strong experience in Snowflake, SQL for data manipulation and engineering tasks.

- Strong Expertise in SQL and Snowflake architecture

- Experience in one or more cloud platforms - Preferably Azure /AWS/GCP

- In-depth knowledge of data warehousing concepts and experience in building and managing data warehouses.

- Knowledge in ETL concepts - needs to manage data migration into Snowflake.

This includes extracting data from various sources, transforming it into a usable form, and loading it into the Snowflake platform.

Good-to-Have :

- Knowledge of Data architecture, data governance, data quality standards, and data security practices to ensure compliance and protection of sensitive information

- Strong understanding of data modeling concepts and techniques to create efficient and scalable data models.

- Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying, managing, and scaling data infrastructure and services.

- Experience with version control systems such as Git for code management and collaboration.