Data Analytics - Expertise in Databricks, Power BI, and ETL

KEY RESPONSIBILITIES:

• Leverage Databricks to develop and optimize scalable data pipelines for real-time and batch data processing.
• Design and implement Databricks Notebooks for exploratory data analysis, ETL workflows, and machine learning models.
• Manage and optimize Databricks clusters for performance, cost efficiency, and scalability.
• Use Databricks SQL for advanced query development, data aggregation, and transformation.
• Incorporate Python and/or Scala within Databricks workflows to automate and enhance data engineering processes.
• Develop solutions to integrate Databricks with other platforms, such as Azure Data Factory, for seamless data orchestration.
• Create interactive and visually compelling Power BI dashboards and reports to enable self-service analytics.
• Leverage DAX (Data Analysis Expressions) for building calculated columns, measures, and complex aggregations.
• Design effective data models in Power BI using star schema and snowflake schema principles for optimal performance.
• Configure and manage Power BI workspaces, gateways, and permissions for secure data access.
• Implement row-level security (RLS) and data masking strategies in Power BI to ensure compliance with governance policies.
• Build real-time dashboards by integrating Power BI with Databricks, Azure Synapse, and other data sources.
• Provide end-user training and support for Power BI adoption across the organization.
• Develop and maintain ETL/ELT workflows, ensuring high data quality and reliability.
• Implement data governance frameworks to maintain data lineage, security, and compliance with organizational policies.
• Optimize data flow across multiple environments, including data lakes, warehouses, and real-time processing systems.
• Collaborate with data governance teams to enforce standards for metadata management and audit trails.
• Work closely with IT teams to integrate analytics solutions with ERP, CRM, and other enterprise systems.
• Troubleshoot and resolve technical challenges related to data integration, analytics performance, and reporting accuracy.
• Stay updated on the latest advancements in Databricks, Power BI, and data analytics technologies.
• Drive innovation by integrating AI/ML capabilities into analytics solutions using Databricks.
• Contributes to the enhancement of organizational analytics maturity through scalable and reusable architectures.

REQUIRED SKILLS:

• Self-Management - You must possess the drive and ability to deliver on projects without constant supervision.
• Technical - This role has a heavy emphasis on thinking and working outside the box. You need to have a thirst for learning new technologies and be receptive to adopting new approaches and ways of thinking.
• Logic - You need to have the ability to work through and make logical sense of complicated and often abstract solutions and processes.
• Language - Customer has a global footprint, with offices and clients around the globe. The ability to read, write, and speak fluently in English, is a must. Other languages could prove useful.
• Communication - Your daily job will regularly require communication with Customer team members. The ability to clearly communicate, on a technical level, is essential to your job. This includes both verbal and written communication.