Snowflake Data Engineer

Overview

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

Skills

Snowflake
SQL
Data Warehousing
Data Modeling
ETL/ELT
Python & Java
Data Pipelines
Snowpipe
Bid Data
QA
Linux
Data Visualization

Job Details

Technical Skills:
  • SQL:
    Fluency in SQL is fundamental for querying, manipulating, and managing data within Snowflake.
  • Data Warehousing:
    A strong understanding of data warehousing principles, including data modeling, data dictionaries, and metadata management, is necessary.
  • Data Modeling:
    The ability to design robust and scalable data models that support business requirements is key.
  • ETL/ELT:
    Expertise in ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform) processes is essential for data ingestion and transformation.
  • Programming Languages:
    Proficiency in Python or Java is often required for automating tasks, writing custom functions, and working with Snowflake's Snowpark.
  • Cloud Technologies:
    Understanding cloud platforms like AWS, Azure, or Google Cloud is valuable, as Snowflake is a cloud-based platform.
  • Data Pipelines:
    Experience in designing and building data pipelines for data ingestion, transformation, and delivery is crucial.
  • Snowflake Specific Skills:
    Familiarity with Snowflake's architecture, features (e.g., Snowpipe, Snowpark), and best practices
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