Sr. Snowflake Developer
- Source: LinkedIn
- STAFFXPERT LLC
- On-site
- New York City
- Senior
Job Description
Location: New York/NJ
Overall Experience
- 6 10+ years of Data Engineering / ETL / Data Warehouse experience.
- Minimum 3+ years of hands-on experience with Snowflake Data Warehouse.
Required Skills
- 6+ years of Data Engineering/ETL experience.
- 3+ years of hands-on Snowflake (SnowSQL, SnowPipe, Architecture).
- Strong Python and SQL.
- ETL/Data Integration & Data Warehousing.
- Star/Snowflake Schema & Dimensional Modeling.
- Spark performance tuning.
- Relational & NoSQL databases.
- Cloud data pipelines.
- Performance tuning & troubleshooting.
- Good communication and client-facing skills.
Mandatory Skills (Must Have) Snowflake
- 2+ years of hands-on experience with Snowflake Data Warehouse.
- Strong experience in Snowflake architecture and solution design.
- SnowSQL.
- SnowPipe.
- Snowflake security, roles, warehouses, stages, tasks, streams.
- Snowflake performance tuning and query optimization.
- Snowflake integration with external systems.
Programming
- Python (mandatory).
- Advanced SQL.
Data Engineering
- Data Integration.
- ETL/ELT Development.
- Data Pipeline development and automation.
- Cloud-based data pipelines.
- Data migration into Snowflake.
Big Data
- Spark.
- Spark job optimization.
- Big Data technologies.
Data Modeling
- Star Schema.
- Snowflake Schema.
- Dimensional Modeling.
- Relational Database Design.
- NoSQL Databases.
Databases
- Strong experience with Relational Databases (Oracle, SQL Server, PostgreSQL, MySQL, etc.).
- Experience with NoSQL databases (MongoDB, Cassandra, DynamoDB, etc.).
Architecture
- Data Warehouse Architecture.
- Solution Design.
- Technical Architecture.
- Technical Documentation.
- Functional Specifications.
Testing & Support
- Unit Testing.
- Integration Testing.
- Troubleshooting production issues.
- Performance tuning.
- Root Cause Analysis.
Skills
- Snowflake
- Python
- oracle
- PostgreSQL
- mysql
- MongoDB
- cassandra
- apache-cassandra
- root-cause
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