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Job Details

Snowflake Architect Contract

  • Matthews, North Carolina, USA

  • Post Date: Apr-24-2024

  • 8+ years of experience implementing data management solutions (Required).
  • Management consulting experience (Highly Desired).
  • Expertise in Snowflake concepts like setting up Resource monitors, RBAC controls, scalable virtual warehouse, SQL performance tuning, zero copy clone, time travel and automating them.
  • Experience in handling semi-structured data (JSON, XML), columnar PARQUET using the VARIANT attribute in Snowflake.
  • Experience in in re-clustering of the data in Snowflake with good understanding on Micro-Partitions.
  • Experience in Migration processes to Snowflake from on-premises database environment. 
  • Experience in designing and building manual or auto ingestion data pipeline using Snowpipe.
  • Experience in Cloud technologies such as AWS ? S3, SQS, EC2, Lambda, Redshift, RDS
  • Design and Develop automated monitoring processes on Snowflake using combination of Python, PySpark, Bash with SnowSQL.
  • SnowSQL Experience in developing stored Procedures writing Queries to analyze and transform data. 
  • Certified Snowflake cloud data warehouse Architect (Desirable).

Responsibilities

  • Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling).
  • Experience with data security and data access controls and design in Snowflake.
  • Proficiency in complex SQL, Unix Shell/Python Scripting, performance tuning and database optimization techniques.
  • Must have expertise in AWS Platform as a Service (PAAS) model and its integration with Snowflake to load/unload data.
  • Implement cloud-based Enterprise data warehouse solutions with multiple data platforms along with Snowflake and NoSQL environment to build data movement strategy.
  • Lead in Developing Project requirements for end-to-end Data integration process using ETL for Structured, semi-structured and Unstructured Data.
  • Make necessary on-going updates to modeling principles, processes, solutions, and best practices to ensure that the Snowflake is aligned with business needs of the environment. 
  • Act as Data domain expert for Snowflake in a collaborative environment to provide demonstrated understanding of data management best practices and patterns.

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