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Jobs or company...
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Snowflake Data Engineer

Salary undisclosed

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Dice

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

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Job Titile :- Snowflake Data Engineer

Exp :- 10+

Key Responsibilities:

  • Data Architecture & Development: Design, build, and maintain Snowflake data warehouse solutions that enable seamless integration, data availability, and scalability for business intelligence and analytics.
  • ETL/ELT Development: Develop, test, and maintain ETL/ELT processes and pipelines that integrate structured and unstructured data into Snowflake from various data sources.
  • Data Modeling: Create and manage logical and physical data models, applying best practices for data modeling within Snowflake.
  • Optimization & Performance Tuning: Ensure optimal performance of the Snowflake data warehouse by tuning queries, setting up clustering, and leveraging caching and Snowflake best practices.
  • Collaboration: Work closely with data analysts, data scientists, and business teams to understand requirements and support their data needs.
  • Security & Compliance: Implement security and data privacy best practices in Snowflake, including access control, encryption, and data masking.
  • Documentation & Standards: Document processes, data flows, and data architecture to ensure knowledge sharing and best practices are followed.

Qualifications:

  • Experience: 3+ years of experience in data engineering, with at least 1+ years of hands-on experience with Snowflake.
  • Technical Skills:
    • Proficiency in SQL and understanding of advanced Snowflake features (e.g., data sharing, zero-copy cloning, Snowpipe, time travel).
    • Experience with ETL tools and techniques (e.g., Apache Airflow, Matillion, Informatica, or Talend).
    • Familiarity with programming languages such as Python or Scala for data transformation.
    • Knowledge of data modeling techniques (e.g., star schema, snowflake schema) and data warehousing best practices.
  • Cloud Experience: Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and familiarity with data services such as AWS S3, Azure Blob Storage, or Google Cloud Platform BigQuery.
  • Soft Skills: Strong problem-solving skills, excellent communication, and the ability to work collaboratively with cross-functional teams.
  • Education: Bachelor s or Master s degree in Computer Science, Data Engineering, Information Technology, or a related field.

Preferred Qualifications:

  • Snowflake certification (e.g., SnowPro Core Certification).
  • Experience with data visualization tools (e.g., Tableau, Power BI) or data lake technologies.
  • Knowledge of CI/CD processes, Git, and Agile methodologies.
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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