Job description
Job Title: Databricks Data Specialist (Hybrid)
Location: Raleigh, NC
Duration: 12 Month
Job Description:
The client is seeking a skilled Data Analyst with strong experience in Azure Databricks to support the creation of data aggregations, dashboards, and reports. 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 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
Preferred:
- Databricks Data Analyst Associate Certification
Skills:
SkillRequired/DesiredAmountof ExperienceHands-on experience designing, deploying, and managing Azure Databricks architecture in enterprise environmentsRequired3YearsStrong understanding of data science concepts, including statistical learning and machine learning algorithmsRequired3YearsProficiency in SQL and Python for developing queries, data transformations, and interactive dashboardsRequired3YearsExperience with techniques like dimensional modeling, entity-relationship modeling, normalization / denormalization, or Data VaultRequired3YearsExcellent communication skills with proven ability to collaborate with cross-functional teams and translate business needs into technical solutionsRequired5Years
