- Strong experience in Snowflake, SQL for data manipulation and engineering tasks.
- Strong Expertise in SQL and Snowflake architecture
- Expertise in Data architecture, data governance, data quality standards, and data security practices to ensure compliance and protection of sensitive information
- Experienced in designing, owning and delivering snowflake data platforms based on customer requirements
- Experience in ETL tools Informatica / DBT
- 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.
Positive-to-Have(Ideally should not be more than 3-5)
- Strong understanding of data modeling concepts and techniques to create efficient and scalable data models.
- Knowledge of agile based execution.
- Experience with version control systems such as Git for code management and collaboration.
SN
Responsibility of / Expectations from the Role
1 Design, develop, and maintain scalable data pipelines for extracting, transforming, and loading data from various sources to ensure seamless data flow and accessibility.
2 Collaborate with cross-functional teams to integrate data from multiple disparate sources, ensuring consistency, accuracy, and reliability of data.
3 Optimize data processing workflows and storage solutions for performance, scalability, and cost-efficiency
4 Implement data quality checks and validation processes to ensure the accuracy, completeness, and consistency of data throughout the data lifecycle.
5 Monitor the performance of data pipelines and infrastructure, identifying and resolving issues to maintain system stability and reliability.