• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 22nd Jul 2024

Design and implement scalable data models using Snowflake best practices.

Develop logical and physical data models based on business requirements.

Optimize data models for performance and efficiency, considering storage, retrieval, and

computational costs.

Ensure data integrity and consistency across databases and data warehouses.

Snowflake Architecture:

Architect and maintain Snowflake environments, including databases, schemas,

warehouses, and roles.

Implement Snowflake features such as clustering, partitioning, and materialized views to

enhance performance.

Configure and optimize Snowflake storage options and virtual warehouses based on

workload requirements.

Data Integration and ETL:

Collaborate with ETL developers to design and optimize data pipelines for ingesting and

transforming data into Snowflake.

Implement data integration strategies to ensure seamless data flows between systems

and platforms.

Monitor and troubleshoot ETL processes to ensure data quality and reliability.

Performance Tuning and Optimization:

Conduct performance tuning of SQL queries and data models to meet SLA requirements.

Implement indexing and caching strategies to improve query performance.

Monitor system performance metrics and recommend optimizations based on usage

patterns.

Collaboration and Documentation:

Work closely with data engineers, analysts, and stakeholders to understand data

requirements and deliver solutions.

Document data models, architecture designs, and configurations.

Provide technical guidance and mentorship to junior team members.