Snow flake Data Engineer

Overview

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

Skills

Snow flake
ETL & SSIS
Big Data
Python
Performance Tuning
Data Ingestion
Snowflake Administration
AWS & Azure
SQL
Data Warehousing
Informatica

Job Details

Technical Skills:
  • SQL Proficiency:
    Expertise in SQL is essential for querying, manipulating, and managing data within Snowflake.
  • Data Warehousing:
    Understanding data warehousing concepts, data modeling, and metadata management is fundamental for designing efficient and scalable data pipelines.
  • Cloud Computing:
    Familiarity with cloud platforms like AWS, Azure, or Google Cloud is important for integrating Snowflake with other cloud services.
  • ETL Tools:
    Experience with ETL tools (e.g., Talend, Informatica) is beneficial for building data ingestion and transformation pipelines.
  • Programming Languages:
    Proficiency in Python or other scripting languages can be useful for automating tasks and building custom solutions within the Snowflake environment.
  • Snowflake Architecture:
    A deep understanding of Snowflake's architecture, including its unique features like data sharing and cloning, is essential for optimizing performance and efficiency.
  • Performance Tuning:
    Skills in performance tuning and resource monitoring are necessary for ensuring optimal performance of Snowflake databases and pipelines.
  • Data Modeling:
    Experience in data modeling and designing schemas within Snowflake is crucial for organizing and structuring data effectively.
  • Data Ingestion:
    Understanding how to ingest data into Snowflake from various sources, including data lakes and on-premises systems, is a key skill.
  • Snowflake Administration:
    Familiarity with Snowflake's administration features, such as managing users, roles, and security, is often required.
Practical Skills:
  • Problem-Solving:
    The ability to troubleshoot issues and identify root causes in data pipelines is essential.
  • Communication:
    Effective communication skills are important for collaborating with other engineers and business stakeholders.
  • Documentation:
    Skills in documenting data pipelines and best practices are crucial for maintaining and sharing knowledge.
  • Continuous Learning:
    Staying up-to-date with the latest Snowflake features and best practices is important for staying ahead of the curve.
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