Databricks Data Specialist

⭐ - Featured Role | Apply direct with Data Freelance Hub
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 16, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Raleigh, NC
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🧠 - Skills detailed
#Documentation #Azure Databricks #Data Aggregation #SQL (Structured Query Language) #Normalization #Spark (Apache Spark) #Python #Data Transformations #Data Pipeline #Vault #Data Science #Data Vault #SQL Queries #Data Quality #"ETL (Extract #Transform #Load)" #Data Mapping #Data Analysis #ML (Machine Learning) #Databricks #BI (Business Intelligence) #Datasets #Microsoft Power BI #Spark SQL #Data Engineering #Azure #Data Mining #Visualization #PySpark
Role description
Title Databricks Data Specialist Location Raleigh, NC (Hybrid)Β  Duration 12 Months Interview Type Both Phone and In Person Job Type C2C,W2 Β  Β  Job Description NCDIT-T Web Systems is seeking a skilled Data Analyst with strong experience in Azure Databricks to support the creation of data aggregations, dashboards, and reports. β€’ NCDIT-T Web Systems is seeking a skilled Data Analyst with strong experience in Azure Databricks to support the creation of data aggregations, dashboards, and reports. β€’ The ideal candidate will have hands-on expertise with Databricks (PySpark) and visualization tools, including both Databricks native tools and Power BI. β€’ In this role, you will be responsible for developing business requirements, supporting change management documentation, and actively collaborating with stakeholders to ensure alignment between data solutions and business needs. β€’ You will work closely with a technical lead and participate in design discussions and planning with the broader development team. Key Responsibilities β€’ Conduct comprehensive data analysis, create data mappings, develop dashboards, and ensure data quality and integrity β€’ Leverage Spark SQL within Databricks to query and analyze large datasets, writing efficient and complex SQL queries β€’ Collaborate closely with data engineers to design and deliver high-quality data products β€’ Develop detailed data mappings to support the integration and transformation of data from diverse sources into structured, analysis-ready formats β€’ Design and build intuitive, informative dashboards using tools such as Power BI or Databricks' native visualization tools to effectively communicate insights β€’ Build Gold-layer data products to support custom-built dashboards, APIs, and UI tools β€’ Create clear and comprehensive documentation for data pipelines, mappings, models, and dashboard functionality β€’ Perform statistical analysis, data mining, and machine learning to uncover patterns, trends, and actionable insights β€’ Develop and implement predictive models, algorithms, and advanced analytical tools to address specific business challenges Preferred: β€’ Databricks Data Analyst Associate Certification Skill Required / Desired Amount of Experience Hands-on experience designing, deploying, and managing Azure Databricks architecture in enterprise environments Required 3 Years Strong understanding of data science concepts, including statistical learning and machine learning algorithms Required 3 Years Proficiency in SQL and Python for developing queries, data transformations, and interactive dashboards Required 3 Years Experience with techniques like dimensional modeling, entity-relationship modeling, normalization / denormalization, or Data Vault Required 3 Years Excellent communication skills with proven ability to collaborate with cross-functional teams and translate business needs into technical solutions Required 5 Years Β