Databricks Data Analyst
- 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
- Databricks Data Analyst Associate Certification
- 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
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