Wireless Network Architect with OT And Enterprise domain exp PROLIM Corporation
Plano, TX7 days ago
- Contractor
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Skills
- Access Controlunmatched
- Amazon Web Services (AWS)unmatched
- Application Programming Interface (API)unmatched
- Automationunmatched
- Best Practicesunmatched
- Business Analysisunmatched
- Business Intelligenceunmatched
- Business Skillsunmatched
- Business Strategyunmatched
- Cloud Computingunmatched
- Communication Skillsunmatched
- Computer Scienceunmatched
- Concreteunmatched
- Continuous Deployment/Deliveryunmatched
- Continuous Integrationunmatched
- Cross-Functionalunmatched
- Data Analysisunmatched
- Data Cleaningunmatched
- Data Managementunmatched
- Data Modelingunmatched
- Data Warehousingunmatched
- Database Extract Transform and Load (ETL)unmatched
- Dimensional Modelingunmatched
- Documentationunmatched
- GCP (Good Clinical Practices)unmatched
- Information Technology & Information Systemsunmatched
- Information/Data Security (InfoSec)unmatched
- Kanbanunmatched
- Microsoft Product Familyunmatched
- Microsoft Windows Azureunmatched
- Performance Metricsunmatched
- Performance Tuning/Optimizationunmatched
- Power BIunmatched
- Power Managementunmatched
- Presentation/Verbal Skillsunmatched
- Python Programming/Scripting Languageunmatched
- Reporting Dashboardsunmatched
- Requirements Managementunmatched
- SQL (Structured Query Language)unmatched
- Scala Programming Languageunmatched
- Scalable System Developmentunmatched
- Scrum Project Management and Software Developmentunmatched
- Snowflake Schemaunmatched
- Star Schemaunmatched
- Training Data Setsunmatched
- Warehousingunmatched
Description
Key Responsibilities
Data Engineering & Architecture (Snowflake)
Technical Requirements
Data Engineering & Architecture (Snowflake)
- Pipeline Development: Design, build, and maintain scalable, automated ETL/ELT data pipelines to ingest data from disparate sources (cloud, on-prem, APIs, streaming) into Snowflake.
- Data Modeling: Architect and implement efficient data models within Snowflake using standard methodologies (Data Vault 2.0, Dimensional Modeling/Star Schema).
- Performance Optimization: Optimize Snowflake performance through effective warehouse sizing, clustering keys, materialized views, query tuning, and storage optimization.
- Data Governance & Security: Implement robust data security measures within Snowflake, including Role-Based Access Control (RBAC), data masking, and end-to-end data lineage tracking.
- Semantic Modeling: Design and develop enterprise-grade Power BI semantic models (datasets) that serve as a single source of truth for corporate reporting.
- Advanced DAX & Power Query: Write complex, high-performance DAX measures and utilize Power Query (M) for efficient data transformation and mashups.
- Dashboard Development: Create intuitive, visually compelling, and interactive Power BI dashboards and reports tailored for both operational and executive audiences.
- Tenant Management: Manage Power BI workspaces, premium capacities, gateway configurations, and row-level security (RLS) implementation.
- Framework Implementation: Apply Medallion Architecture principles (Bronze/Silver/Gold layers) to organize and clean corporate data assets.
- Stakeholder Collaboration: Partner with cross-functional business leaders and product teams to gather requirements, define KPIs, and map out strategic corporate reporting roadmaps.
- Best Practices: Establish and champion development standards, documentation templates, and CI/CD deployment pipelines for both data engineering and BI layers.
Technical Requirements
- Data Warehousing: 5+ years of experience in data engineering, with at least 3+ years of dedicated, hands-on experience architecting solutions in Snowflake.
- Business Intelligence: 3+ years of advanced experience developing enterprise solutions in Power BI (including Premium features, deployment pipelines, and advanced DAX).
- SQL Mastery: Expert-level SQL skills for complex data analysis, transformation, and query performance tuning.
- Programming: Strong proficiency in Python or Scala for data manipulation and pipeline automation.
- Modern Data Stack: Familiarity with data orchestration tools (e.g., Airflow, Prefect) and transformation frameworks (e.g., dbt). Cloud platform experience (AWS, Azure, or GCP) is highly preferred.
- Strong business acumen with the ability to translate ambiguous business requests into concrete data engineering requirements.
- Proven experience defining and executing corporate reporting strategies.
- Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Experience working in agile environments (Scrum/Kanban).
- Bachelor's or Master's degree in Computer Science, Information Systems, Business Analytics, or a related quantitative field.
- Preferred Certifications: Snowflake SnowPro Core/Advanced, Microsoft Certified: Power BI Data Analyst Associate (PL-300), or Fabric Analytics Engineer (DP-600).
Numbers & Facts
| Location | Dallas, TX |
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