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.

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