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Jobs or company...

Snowflake Architect

  • Full Time, onsite
  • Concent Software Solution LLC
  • Hybrid, United States of America
Salary undisclosed

Apply on

Dice

Availability Status

This job is expected to be in high demand and may close soon. We’ll remove this job ad once it's closed.

Original
Simplified

Description:

Database Platforms Services - Analytics team is looking for a proactive, enthusiastic, and knowledgeable individual who is a self-starter and is passionate about Engineering Database solutions.

This position will be focused on building automation pipelines around database platforms (on-prem and cloud) which will require programming skills (Shell scripting/Python) and Database knowledge.

Primary Responsibilities:

  • Design and Architect database solution on Snowflake data cloud platform, AWS, Azure and Databricks.
  • Manage and optimize the performance, security, and reliability of databases in the Snowflake Data Cloud platform.
  • Planning and managing disaster recovery strategies and data retention policies.
  • Deploying, right-sizing, and managing Snowflake virtual warehouses.
  • Implement and manage security measures like data encryption, access controls, and network policies.
  • Automate standard Database processes using Unix Shell scripting/Python.
  • Develop new automation scripts in python and write unit cases.
  • Enhance/troubleshoot existing Unix shell scripts.

Skills Required:

  • Expert in programming and has automation mind set.
  • Expert with Snowflake, AWS and Azure Cloud platforms.
  • 7+ years of experience as a Snowflake Architect/DBA.
  • Experience as an SAP IQ DBA.
  • Hands-on expertise with Snowflake utilities such as SnowSQL, SnowPipe, SnowPark, Python, Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing, and stored procedures.
  • Snowflake SQL Writing SQL queries against Snowflake Developing scripts Java, Python, Scala, etc. to do Extract, Load, and Transform data.
  • In-depth understanding of Data Warehouse/ODS, ETL concept and modeling structure principles
  • Experience with Database design and architecture patterns.
  • Experience in Data warehousing OLAP systems, Dimensions, Facts, and Data modeling.
  • Experience gathering and analyzing system requirements.
  • 7+ years of hands-on experience designing and implementing production grade data warehousing solutions on large scale data technologies such as Snowflake, DB2, and SAP IQ.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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