Splunk & Power BI Integration Engineer

Splunk & Power BI Integration Engineer Career Opportunity
We are looking for an experienced Splunk & Power BI Integration Engineer with a strong background in integrating data visualization platforms (Power BI) with machine data analytics tools (Splunk), heavy scripting for data manipulation and automation, and developing robust, actionable dashboards for real-time insights and operational intelligence.

Splunk & Power BI Integration Engineer Role & Responsibilities

• Platform Integration: Design, implement, and maintain seamless integrations between Splunk Enterprise/Cloud and Microsoft Power BI to facilitate robust data flow and comprehensive visualization capabilities.
• Scripting & Automation: Utilize scripting languages (e.g., Python, PowerShell, SQL, DAX) to automate data extraction, transformation, and loading (ETL) processes, ensuring data integrity and efficiency in moving data between systems.
• Data Modeling & Management: Develop and optimize complex data models within Power BI, leveraging data sourced from Splunk and other relevant systems to support sophisticated reporting and analysis.
• Dashboard Development: Design, build, and deploy highly interactive and visually compelling dashboards and reports in Power BI, translating complex data sets into clear, actionable insights for stakeholders across various business functions.
• Splunk Expertise: Develop and manage Splunk queries, reports, and alerts. Utilize Splunk Search Processing Language (SPL) for data analysis, data normalization, and to prepare data for consumption within Power BI.
• Performance Optimization: Monitor and tune the performance of both Power BI reports and underlying data sources, ensuring rapid data retrieval and optimal user experience.
• Collaboration & Training: Collaborate with data engineers, analysts, and business users to understand data visualization requirements, provide training, and promote best practices in data analytics and visualization.
• Documentation & Governance: Maintain comprehensive documentation for all integrations, data models, and dashboards, adhering to data governance and security policies.

Splunk & Power BI Integration Engineer Required Qualifications

• 5+ years of proven experience in data visualization, business intelligence, or data analytics roles, specifically working with both Microsoft Power BI and Splunk platforms.
• Expert-level proficiency in Microsoft Power BI (DAX, Power Query/M, Data Modeling) and strong hands-on experience with Splunk Search Processing Language (SPL).
• Strong command of one or more scripting languages (Python, PowerShell, or similar) for automation and data manipulation tasks.
• Solid understanding of data warehousing concepts, ETL processes, SQL, and database management principles.
• Excellent analytical and problem-solving abilities, with a keen eye for detail and the ability to translate technical data into business insights.
• Strong interpersonal and communication skills, capable of effectively engaging with technical teams and non-technical business stakeholders.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.

Splunk & Power BI Integration Engineer Preferred Qualifications

• Relevant certifications such as Microsoft Certified Power BI Data Analyst Associate, or Splunk Certified User/Power User/Architect.
• Experience with cloud platforms (e.g., Azure, AWS) and cloud-based data services (e.g., Azure Data Factory, Azure Synapse, AWS S3).
• Familiarity with integrating systems via APIs to extract and push data programmatically.
• Experience with version control systems (e.g., Git) for managing code and scripts.
• Prior experience in IT operations, security analytics, or a similar field where real-time operational intelligence is critical.

#RT
#DICEJOBS