Hiring for Snowflake Engineer at Philadelphia, PA (Remote) (No H1B's)

Job Title : Snowflake Engineer

Location : Philadelphia, PA (Remote)

Duration : 12+ Months

Note: (sometimes 1 trip a month to Philadelphia, PA for team meeting – expenses paid)

NO H1B's

Job Description :

Roles and Responsibilities:

This is a hands-on role, responsible for driving the architecture, design, and implementation of Snowflake
This is a stood-up environment in the cloud. Hands on Snowflake, data bricks engineering
Play a key role in delivering data-driven interactive experiences to our clients
Work closely with our clients in understanding their needs and translating them to technology solutions
Provide expertise as a technical resource to solve complex business issues that translate into data integration and database systems designs
Problem solving to resolve issues and remove barriers throughout the lifecycle of client engagements
Ensuring all deliverables are high quality by setting development standards, adhering to the standards and participating in code reviews
Participate in integrated validation and analysis sessions of components and subsystems on production servers
Experience in the implementation, execution, and maintenance of Data Integration technology solutions
Experience advancing and supporting information management practices within business processes, applications and technology that underpin the data discipline (e.g. establishing data quality processes, performing data analysis, participating in technology implementation planning, implementing data integration processes, etc
Expertise in Snowflake data modeling, ELT using snow pipe, implementing stored procedures and standard DWH and ETL concepts
Expertise in Snowflake concepts like setting up resource monitors, RBAC controls, virtual warehouse, query performance tuning, Zero copy clone, time travel and understand how to use these features
Experience in Data Migration from RDBMS to Snowflake cloud data warehouse
Experience with enterprise cloud economics
Understanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications)
Hands-on expertise with SQL and SQL analytics
Industry benchmarking experience in major industries such as: Financial Services
Certifications for any of the cloud services like AWS, Snowflake, GCP or Azure
Experience working with code repositories and continuous integration
Understanding of development and project methodologies