Databricks Data SpecialistNCDIT-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. The candidate will need to come on-site on the first day to collect equipment. All candidates must be local to the Triangle region of North Carolina.
This position may require up to 3 days per week at a Triangle-area office for return to office in addition to various in-person responsibilities, including meetings.The ideal candidate will have hands-on expertise with Databricks (PySpark) and visualization tools, including both Databricks native tools and Power BI. 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. You will work closely with a technical lead and participate in design discussions and planning with the broader development team.Key ResponsibilitiesConduct comprehensive data analysis, create data mappings, develop dashboards, and ensure data quality and integrityLeverage Spark SQL within Databricks to query and analyze large datasets, writing efficient and complex SQL queriesCollaborate closely with data engineers to design and deliver high-quality data productsDevelop detailed data mappings to support the integration and transformation of data from diverse sources into structured, analysis-ready formatsDesign and build intuitive, informative dashboards using tools such as Power BI or Databricks' native visualization tools to effectively communicate insightsBuild gold-layer data products to support custom-built dashboards, APIs, and UI toolsCreate clear and comprehensive documentation for data pipelines, mappings, models, and dashboard functionalityPerform statistical analysis, data mining, and machine learning to uncover patterns, trends, and actionable insightsDevelop and implement predictive models, algorithms, and advanced analytical tools to address specific business challengesPreferred:Databricks Data Analyst Associate CertificationRequired / Desired SkillsStrong understanding of data science concepts, including statistical learning and machine learning algorithmsHands-on experience designing, deploying, and managing Azure Databricks architecture in enterprise environments - Required - 3 YearsProficiency in SQL and Python for developing queries, data transformations, and interactive dashboards - Required - 3 YearsExperience with techniques like dimensional modeling, entity-relationship modeling, normalization / denormalization, or Data Vault - Required - 3 YearsExcellent communication skills with proven ability to collaborate with cross-functional teams and translate business needs into technical requirements