Snowflake Developer

Minimum 6 – 10 years of work experience with at least two projects implementation leveraging Snowflake - either migration from traditional DWHs or a fresh implementation

Expert level knowledge in SQL, SnowSQL, query optimization, performance tuning etc.

Data Modelling : Knowledge of data modelling principles and techniques.

Solid work experience in AWS / AZURE cloud platforms

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.

Good to have Snowflake advanced concepts on Cortex AI features, search mechanism etc.

Cloud best Practice adoption, strategy development

In depth knowledge of Snowflake Virtual Warehouse, Monitoring Warehouse, Table Structures, Views, Materialized Views, Cloning etc.

Knowledge on Integration (ETL) and Data Ingestion, Data Conversion, and Data Migration.

Technically strong in Python, Pyspark

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 written technical specification document

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