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Snowflake Data Warehouse Consultant_PHL_ATCP

multiple locations +view all Job No. r00150096

Job Description

  • Assists with the data platform blueprint and design, encompassing the relevant data platform components.
  • Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.



    Must have:

  • Expertise in Snowflake data platform and its related technologies.
  • Strong SQL programming skills and experience building complex SQL queries.
  • Hands-on experience in designing, implementing, and maintaining ETL pipelines.
  • Familiarity with cloud-based data warehousing, particularly in Google, AWS or Azure.
  • Strong analytical skills and ability to translate complex business requirements into technical specifications.
  • Excellent communication skills and ability to work collaboratively with cross-functional teams.
  • Optional Skills (preferred but not required)

  • Ability to write and maintain Python and/or Java scripts for data workflows.

    Must have:

  • Hands-on experience working with the Snowflake data warehouse. This includes knowledge of its features and functionalities
  • Optional Skills (preferred but not required)

  • ETL tools: Informatica, Talend, or DataStage, Glue, and other ETL tools
    • Tools enable the extraction, transformation, and loading of data from source systems to target systems for processing and analytics.
    • Have practical experience working with ETL tools such as Informatica, Talend, or DataStage.
  • Google, AWS or Azure Cloud services. Have practical experience working with AWS or Azure cloud services. They should know how to deploy, manage, and optimize cloud-based resources
  • Programming languages: Python, Java, and SQL
  • Big Data technologies: Hadoop, Spark, or Kafka.
  • Collaboration tools: JIRA, Confluence, or Trello.
  • Version control tools: Git, Bitbucket, or SVN.
  • Data modeling tools: ER/Studio, Toad Data Modeler, or PowerDesigner.
  • Experience working with distributed systems, data lakes, and big data technologies.
  • Familiarity with data governance, data security and privacy policies, and regulatory compliance.


Cebu, Mandaluyong City

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