Snowflake Data Engineer

Overview

On Site
$60,000 - $80,000
Full Time

Skills

Snowflake
SQL
Data Warehousing
ETL/ELT
Data Modeling
AWS & Azure
Data Integration
Data Security & Governance
Performance Tuning
Scripting
Snowpark

Job Details

Technical Skills:
  • Snowflake Expertise:
    In-depth knowledge of Snowflake's architecture, features, and functionalities, including Snowpipe, stored procedures, streams, and tasks.
  • SQL Proficiency:
    Strong ability to write and optimize SQL queries for data manipulation, transformation, and analysis within the Snowflake environment.
  • Data Warehousing:
    Understanding of data warehousing principles, including schema design, data modeling, and dimensional modeling.
  • ETL/ELT Processes:
    Expertise in designing and implementing ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) pipelines using tools like Matillion, Azure Data Factory, or other cloud-based ETL services.
  • Data Modeling:
    Ability to design robust and scalable data models that support business requirements and data warehousing needs.
  • Cloud Computing:
    Experience with cloud platforms like AWS, Azure, or Google Cloud, particularly in the context of data storage, processing, and integration with Snowflake.
  • Data Integration:
    Ability to integrate Snowflake with various data sources and third-party tools.
  • Data Security and Governance:
    Understanding of data security principles, access control, and governance policies within the Snowflake environment.
  • Performance Tuning:
    Ability to optimize Snowflake queries, data loading processes, and overall system performance.
  • Scripting:
    Proficiency in scripting languages like Python or Bash for automation and data manipulation tasks.
  • Snowpark:
    Experience with Snowpark, Snowflake's library for using Python, Java, or Scala, to process data within Snowflake
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