What are the responsibilities and job description for the Snowflake Cloud Database Consultant -Pittsburgh, PA (3 days on-site/hybrid required) position at Cerebra Consulting Inc?
Job Details
Cerebra Consulting Inc is a System Integrator and IT Services Solution provider with a focus on Big Data, Business Analytics, Cloud Solutions, Amazon Web Services, Salesforce, Oracle EBS, Peoplesoft, Hyperion, Oracle Configurator, Oracle CPQ, Oracle PLM and Custom Application Development. Utilizing solid business experience, industry-specific expertise, and proven methodologies, we consistently deliver measurable results for our customers. Cerebra has partnered with leading enterprise software companies and cloud providers such as Oracle, Salesforce, Amazon and able to leverage these partner relationships to deliver high-quality, end-to-end customer solutions that are targeted to the needs of each customer.
Title: Snowflake Cloud Database Consultant
Location: Pittsburgh, PA (3 days' on-site/hybrid required)
Duration: 6 Months -Contact to Hire (candidate's must be able to convert with no current or future sponsorship requirements)
In this role, you'll make an impact in the following ways:
Provide development effort for projects like Datamart's, Client Analytics.
Administrate Snowflake accounts and support Snowflake control plane to enable Snowflake tenants workloads.
Work in an Agile methodology to provide expertise and share the best software development practices with the team.
Collaborate with product owners, quality engineers and cross functional teams to provide solutions and solve design and architectural problems.
Ability to do quick proof of value for upcoming Snowflake cloud features
Required Skills:
BS degree in Computer Science or Engineering.
Expertise on Snowflake is a must and should be able to administrate Snowflake DB and should know Snowflake Information metadata schemas and Snowflake internals.
CI/CD DevOps and work experience with Gitlab and automation.
Integrate snowflake with different BI tools.
Strong SQL experience.
Distributed cloud services (preferably Azure).
Distributed data loading (Kafka, Snowpark, and Spark).
Working knowledge of relational and in-memory databases: Oracle, Vertica, and Hazelcast.
Must be well versed with authentication and authorization in cloud services.
Fluent spoken and written English.
Nice to haves:
AI/ML experience
Financial Domain knowledge.
Thanks,
Sai Revanth
revanth.patnala
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