Hello:
Hope you are doing well,
My name is Parvez, a Technical Recruiter with CyberThink Inc. I wanted to discuss with you regarding below opening with our client. Please review and let me know your interest.
Request ID: 3094-1
Location: Jacksonville, FL
Role: Big Data Consultant II
Job Description: Cloud Architect with Snowflake and big data experience In this role, you will be responsible for architect and implement very large scale data intelligence solutions around Snowflake Data Warehouse based on the client’s needs.
This role needs understanding data pipelines and modern ways of automating data pipeline using cloud based Testing and clearly documenting implementations, so others can easily understand the requirements, implementation, and test.
Responsibilities
- Liaising with the client and client team in understanding current data inputs and the future need
- Be the primary point of contact to architect and implement very large-scale data intelligence solutions around Snowflake Data Warehouse
- To understand data pipelines and modern ways of automating data pipeline using cloud-based Testing and clearly document implementations, so others can easily understand the requirements, implementation, and test.
Qualifications
- Engg degree of equivalent
- 4+ years of experience
- Experience of designing and implementing a fully operational production grade large scale data solution on Snowflake Data Warehouse
- Experience with Big data
Preferred qualifications
- Need to have professional knowledge of AWS / Azure. Developing ETL pipelines in and out of data warehouse using combination of Python and Snowflakes SnowSQL Writing SQL queries against Snowflake
- Excellent written and verbal communication skills including presentation skill
- Hands on experience with building productionized data ingestion and processing pipelines using Java, Spark, Scala, Python
- Hands on experience designing and implementing production grade data warehousing solutions on large scale data technologies such as Teradata, Oracle or DB2 Expertise
- Understanding of technologies involved in reconstruction: backup and restoration of data and systems, database restoration.
- Will also build field enablement materials for the broader Data Analytics Technology population, to help them understand how to integrate Analytics on Data Lake on premise and cloud into customer architecture
- Comfortable building relationships with internal partners and stakeholder
Parvez Saiyed || cyberThink Inc.
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