Databricks PySpark Data Analyst

Apply hands-on Databricks and PySpark expertise as a Data Analyst building data solutions and visualizations for business needs. Collaborate with stakeholders and technical teams to maintain alignment.

This Data Analyst develops business requirements and supports change management documentation. The work includes Spark SQL, data mappings, dashboards, and data quality. You will collaborate with data engineers, a technical lead, and the broader development team during design discussions and planning.

Key Responsibilities:

• Conduct data analysis and ensure quality and integrity
• Query large datasets using complex Spark SQL
• Develop mappings for integrated, analysis-ready data
• Build Gold-layer products for dashboards, APIs, and UI tools
• Create dashboards with Power BI or Databricks visualization tools

Requirements:

• Five years of Databricks and PySpark experience
• Five years writing advanced Spark SQL queries
• Five years building Power BI dashboards
• Five years developing data mappings and models
• Five years gathering business requirements and collaborating with stakeholders

Use Databricks, PySpark, Spark SQL, and visualization skills to deliver reliable data products aligned with business requirements.