Description:
- 1. Minimum 6 – 10 years of work experience with at least two projects implementation leveraging Snowflake - either migration from traditional DWHs or a fresh implementation
- 2. Expert level knowledge in SQL, SnowSQL, query optimization, performance tuning etc.
- 3. Data Modelling: Knowledge of data modelling principles and techniques.
- 5. Expertise in Snowflake concepts like setting up Data Masking, Tagging, SnowPipe, RBAC controls, virtual warehouse sizing, zero copy clone, data sharing, Snow pipe, Streams &Tasks, Time travel, Secure Data sharing, DMF, iceberg tables, Dynamic Tables, Micro Partition, Query Profiler etc.
- 6. Good to have Snowflake advanced concepts on Cortex AI features, search mechanism etc.
- 7. Cloud best Practice adoption, strategy development
- 8. In depth knowledge of Snowflake Virtual Warehouse, Monitoring Warehouse, Table Structures, Views, Materialized Views, Cloning etc.
- 9. Knowledge on Integration (ETL) and Data Ingestion, Data Conversion, and Data Migration.
- 10. Technically strong in Python, Pyspark
- 11. Exposure to tools like Jira, Confluence and Agile practices
Good to have skills:
- Good to have Snowflake Certification
- Good to have working experience on DBT
- Has peer reviewed documentation
- Good analytical, problem-solving and synthesizing skills.
- Good Communication and interpersonal skills
- Client facing experience required
- Has reviewed Functional Specification document and written technical specification document
- Well-developed business acumen
- Strong problem-solving skills
- Strong sense of ownership and accountability of tasks with attention to detail
Priority would be resources who can join immediately or max30 days’ notice period.