R
Resource Logistics Inc.
Posted 12 days agoVerified live 2d ago

Data Engineer

Brief overview

Remote
DatabricksAzure Data FactoryDatabricks workflowsPySparkPythonDatabricks SQLData ModelingStar SchemaSnowflake SchemaDelta LakeIcebergData virtualization

About the company

R
Resource Logistics Inc.resource-logistics.com

Resource Logistics is an information technology company providing ERP, CRM implementation, software solutions, and staffing services.

Job description

Summary

Resource Logistics Inc. is a company seeking a Data Engineer to work on various data engineering tasks. The role involves building data pipelines, utilizing cloud technologies, and implementing data modeling techniques.

Responsibilities

  • Databricks, Clienture Data Factory, Databricks workflows, PySpark, Python, Databricks SQL, Data Modeling
  • Config driven data pipelines
  • Databricks Genie conversational tool for AI driven insights using no code/low-code and code completion options using GitHub Copilot
  • Data Modeling: Star Schema and Snowflake Schema
  • Open table formats: Delta Lake and Iceberg
  • Cloud technologies: Clienture is preferred
  • Data virtualization schemes

Skills

  • Databricks
  • Clienture Data Factory
  • Databricks workflows
  • PySpark
  • Python
  • Databricks SQL
  • Data Modeling
  • Config driven data pipelines
  • Databricks Genie conversational tool for AI driven insights using no code/low-code and code completion options using GitHub Copilot
  • Data Modeling: Star Schema and Snowflake Schema
  • Open table formats: Delta Lake and Iceberg
  • Cloud technologies: Clienture is preferred
  • Data virtualization schemes

Qualifications

Must Haves

  • Databricks
  • Clienture Data Factory
  • Databricks workflows
  • PySpark
  • Python
  • Databricks SQL
  • Data Modeling
  • Config driven data pipelines
  • Databricks Genie conversational tool for AI driven insights using no code/low-code and code completion options using GitHub Copilot
  • Data Modeling: Star Schema and Snowflake Schema
  • Open table formats: Delta Lake and Iceberg
  • Cloud technologies: Clienture is preferred
  • Data virtualization schemes

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