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
Positive 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
Solid problem-solving skills
Solid sense of ownership and accountability of tasks with attention to detail

Priority would be resources who can join immediately or max 30 days notice period.

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📌 Senior Snowflake Data Developer Pune
🏢 E4 Software Services
📍 Pune