Senior Databricks Data Analyst - Hybrid

***Mode of Interview :- Webcam Interview *** Very long term project (initial PO for 1 year, expect to go for 4+ years)***Hybrid (3Days per week Onsite) at Raleigh-NC***

Job Description:

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

Skills/Requirements:-

• Databricks and PySpark proficiency: hands-on experience working in the Databricks platform and using PySpark for data analysis and transformation. Required 5 Years
  
• Advanced Spark SQL: the ability to write efficient, complex queries to analyze large datasets within Databricks. Required 5 Years
  
• Data visualization and dashboarding:building clear, intuitive dashboards in Power BI and Databricks’ native visualization tools to communicate insight Required 5 Years
  
• Data mapping and modeling: developing detailed mappings that integrate and transform data Required 5 Years
  
• Business requirements and stakeholder collaboration: gathering and developing business requirements Required 5 Years
  
• Data quality and analysis: conducting thorough data analysis Required 5 Years