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Security Software Data Engineer ; Remote should be local W2
Job Description & How to Apply Below
Pay Rate: $55-60/hour on W2, client will not consider C2C
Must Have- 3 + years of experience in ETL space
- AWS
- Power BI
- Power Shell Scripting
- Python
- 2+ years of Power BI development experience (including Report Builder, Desktop, and Service)
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field, or equivalent professional experience.
- 4-6+ years of experience developing business intelligence, data visualization, reporting, analytics, or data engineering solutions.
- Strong experience with Microsoft Power BI, including dashboard development, report development, data modeling, DAX, performance optimization, and visualization design.
- Experience designing intuitive, highly interactive visualizations that enable users to explore, analyze, and gain insights from complex datasets.
- Experience developing Power BI solutions that leverage drill-through, drill-down, bookmarks, dynamic filtering, custom visuals, and other interactive capabilities.
- Strong SQL skills and experience working with relational databases, data warehouses, and large datasets.
- Experience building and supporting ETL and data integration processes involving structured and semi-structured data sources.
- Experience working with cloud-based data platforms and services, preferably AWS.
- Understanding of data governance, data quality, data modeling, and reporting best practices.
- Ability to validate data accuracy and develop automated testing and monitoring for reporting and visualization solutions.
- Experience working in Agile development environments.
- Strong communication and collaboration skills with the ability to work effectively with both technical and non-technical stakeholders.
- Ability to implement scalable reporting and visualization solutions based on established requirements, designs, and business objectives.
- A continuous improvement mindset with a focus on usability, performance, sustainability, maintainability, and operational excellence.
- Experience supporting cybersecurity, threat intelligence, risk management, fraud, compliance, or other data-intensive operational programs.
- Experience with Snowflake, or similar platforms.
- Familiarity with Power BI administration, governance, deployment pipelines, workspace management, and security models.
- Experience developing key risk indicators (KRIs), key performance indicators (KPIs), operational scorecards, or executive reporting solutions.
- Knowledge of data warehousing concepts, dimensional modeling, semantic modeling, and analytical data design techniques.
- Experience with Infrastructure as Code and modern cloud-native development practices.
- Familiarity with cybersecurity data sources, security operations workflows, threat intelligence, vulnerability management, or security analytics.
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