Databricks Data Specialist

  • Raleigh, NC
  • Posted 22 hours ago | Updated 22 hours ago

Overview

On Site
Depends on Experience
Contract - W2

Skills

Databricks
Data vault
SQL
Python

Job Details

Role : Databricks Data Specialist
Location: RALEIGH/ DURHAM/ CHAPEL HILL, NC AREA.
Long Term Contract

ONLY SUBMIT CANDIDATES CURRENTLY LIVING IN THE RALEIGH/ DURHAM/ CHAPEL HILL, NC AREA. Please list where your candidate is currently located.

Preferred Certification:

  • Databricks Data Analyst Associate Certification

Job Responsibilities:

  • Conduct comprehensive data analysis, create data mappings, develop dashboards, and ensure data quality and integrity
  • Leverage Spark SQL within Databricks to query and analyze large datasets, writing efficient and complex SQL queries
  • Collaborate closely with data engineers to design and deliver high-quality data products
  • Develop detailed data mappings to support the integration and transformation of data from diverse sources into structured, analysis-ready formats
  • Design and build intuitive, informative dashboards using tools such as Power BI or Databricks native visualization tools to effectively communicate insights
  • Build Gold-layer data products to support custom-built dashboards, APIs, and UI tools
  • Create clear and comprehensive documentation for data pipelines, mappings, models, and dashboard functionality
  • Perform statistical analysis, data mining, and machine learning to uncover patterns, trends, and actionable insights
  • Develop and implement predictive models, algorithms, and advanced analytical tools to address specific business challenges

Required Skills:

  • Hands-on experience designing, deploying, and managing Azure Databricks architecture in enterprise environments (3 Years)
  • Strong understanding of data science concepts, including statistical learning and machine learning algorithms (3 Years)
  • Proficiency in SQL and Python for developing queries, data transformations, and interactive dashboards (3 Years)
  • Experience with techniques like dimensional modelling, entity-relationship modelling, normalization/denormalization, or Data Vault (3 Years)
  • Excellent communication skills with proven ability to collaborate with cross-functional teams and translate business needs into technical solutions (5 Years)

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