Title: Senior Data Engineer

Location: Bellevue, WA/Onsite

Duration: Full Time

Client: Confidential

Visa: USC, GC, GC EAD

Experience required: 5-8 years

Job Description

Must Have Technical/Functional Skills:

Digital : Microsoft Azure; Kusto; PL/SQL; Digital : Microsoft Power BI; Microsoft SQL Server 2012 Business Intelligence

Required Skills

• Create and manage Azure Policies, governance controls, and baseline compliance rules.
• Develop, maintain, and monitor KPIs, dashboards, and reporting solutions.
• Design and implement Power BI dashboards and reports for business and operational insights.
• Provide excellent communication and collaboration skills to support Office Hours, production support, and stakeholder interactions.
• Design and implement scalable data architectures with focus on high availability, reliability, and performance.
• Architect, design, develop, and implement enterprise information systems and operational solutions.
• Analyze business requirements, evaluate existing application landscapes, and identify redundant or inefficient systems.
• Build, maintain, and optimize ETL/ELT data pipelines for data extraction, transformation, and loading into data warehouses or data lakes.
• Develop data migration and system integration strategies across multiple platforms.
• Design technical solutions for complex business problems and maximize the value of technology investments.
• Manage and optimize SQL and NoSQL databases to ensure performance, security, availability, and data consistency.
• Integrate data from multiple sources including:
• APIs
• Flat files
• Third-party systems
• Enterprise applications
• Implement and monitor data quality frameworks to ensure accuracy, completeness, and reliability of data.
• Develop and maintain enterprise reports, dashboards, and analytics solutions.
• Collaborate with:
• Data scientists
• Data analysts
• Business stakeholders
• Technical teams
• to gather requirements and deliver data-driven solutions.
• Work directly with clients to understand business needs, gain alignment, and recommend appropriate technology solutions.
• Evaluate and guide the selection of technologies required for enterprise system implementations.
• Automate repetitive data processing and operational tasks to improve efficiency and reduce manual intervention.
• Monitor system performance, troubleshoot issues, and support deployments and change management activities.
• Maintain detailed documentation for:
• Data processes
• Pipelines
• System architecture
• Reporting solutions
• Operational procedures
• Support knowledge sharing, onboarding, and continuous improvement initiatives.
• Develop and maintain Power BI-based reporting solutions as a primary reporting platform.