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Azure DevOps Engineer
2 weeks ago
Job Overview
We are looking for an experienced Azure Data Engineer to lead the design and implementation of our data infrastructure. This role is focused on solution design, automating data pipelines from diverse sources, and Azure environment setup and optimization. The ideal candidate will have in-depth expertise in Microsoft Fabric, Azure architecture, data modeling, and Power BI, ensuring scalable and robust data solutions across the organization. This is an exciting opportunity for a hands-on data engineering professional who is passionate about delivering high-quality data systems and processes.
Key Responsibilities
Data Engineering & Automated Pipelines
- Design and implement automated data pipelines that integrate data from multiple sources, including on-premise databases, cloud platforms, and third-party applications.
- Develop data ingestion, transformation, and storage processes that ensure high data quality, security, and scalability.
- Use Microsoft Fabric to manage and orchestrate data workflows, ensuring reliability and efficiency.
Solution Design & Architecture
- Lead the design of end-to-end data solutions, ensuring alignment with business requirements and data engineering best practices.
- Architect and configure Azure resources, including Azure Synapse, Azure Data Lake, and other relevant Azure services to support data warehousing and analytics needs.
- Establish best practices for cloud architecture, data governance, and cost management within Azure.
Azure Environment Management
- Take ownership of Azure setup, provisioning, and configuration management, ensuring secure and efficient cloud operations.
- Monitor and optimize the performance of Azure environments, managing storage, computing, and network resources to meet service-level agreements (SLAs).
Data Modeling & Database Management
- Develop and maintain data models that support business intelligence and analytics requirements.
- Optimize database performance and implement indexing, partitioning, and other strategies for efficient data retrieval.
- Document data models, metadata, and data flows, ensuring clarity and alignment with data governance standards.
Power BI Support & Data Visualization
- Collaborate with data analysts and business stakeholders to ensure Power BI dashboards are aligned with data model structures.
- Provide guidance on Power BI data connectivity, security, and model optimization for self-service analytics.
- Implement data security and compliance practices in Power BI to ensure data privacy and integrity.
Qualifications
- Education: Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
- Experience: Minimum of 3-5 years in Data Engineering, with hands-on experience in Azure cloud solutions and automated pipeline design.
Required Technical Skills
- Azure: Proficient in Azure cloud services, including Azure Synapse, Azure Data Lake, and role-based access control.
- Microsoft Fabric: Strong experience in using Microsoft Fabric for building and managing data pipelines and orchestrating workflows.
- Data Modeling: Expertise in data modeling techniques, with experience in creating star schemas, dimensional models, and optimizing database structures for reporting and analytics.
- SQL: Advanced SQL skills for data extraction, transformation, and performance optimization.
- Power BI: Familiarity with Power BI for supporting data model integration, security, and visualization practices.
Preferred Skills
- Experience in designing data solutions that integrate multiple cloud and on-premises data sources.
- Familiarity with scripting languages (e.g., Python) for ETL and data transformation tasks.
- Knowledge of data governance and compliance practices within a cloud environment.
- Microsoft certifications in Azure or Data Engineering are a plus.
Benefits
- Competitive salary
- Flexible work options, including remote work
- Opportunities for professional development and certification support
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