Snowflake Data Warehouse Consultant_PHL_ATCP

• •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.

SKILLS REQUIREMENT:

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.

TOOLS REQUIRMENT

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.

#LI-PH

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