What are the responsibilities and job description for the Splunk & Power BI Integration Engineer position at Resolution Technologies?
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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
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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.
- 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.
- 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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