More jobs:
Job Description & How to Apply Below
Data Pipeline Development (Microsoft Fabric)
Design, develop, and deploy scalable data pipelines using Microsoft Fabric components such as One Lake, Data Factory, and Apache Spark
Ensure efficient, secure, and reliable data movement across enterprise systems
Build batch and near real-time data processing workflows
ETL Architecture & Data Engineering Design
Architect ETL workflows optimized for Microsoft Fabric's unified data platform
Streamline ingestion, transformation, and storage processes across structured and unstructured data
Develop reusable and scalable data engineering frameworks
Data Integration & Platform Engineering
Integrate diverse data sources into Microsoft Fabric One Lake ecosystem
Use SQL, Python, Scala, and R for data transformation and processing
Support enterprise-scale analytics through integration with Synapse and related services
One Lake & Synapse Analytics Implementation
Leverage One Lake as a centralized enterprise data lake for analytics and AI workloads
Enable data warehousing and advanced analytics using Synapse integration
Support Power BI and downstream reporting systems
Performance Optimization & Reliability
Monitor, troubleshoot, and optimize data pipelines for performance and scalability
Ensure high availability, low latency, and minimal downtime in production systems
Improve query performance and resource utilization across Fabric workloads
Data Governance, Security & Compliance
Implement data governance frameworks including lineage, privacy, and access control
Ensure compliance with enterprise data security standards
Maintain auditability and data quality across the platform
Leadership & Team Mentoring
Lead and mentor data engineering teams
Oversee Fabric workspace design, code reviews, and technical best practices
Drive adoption of Microsoft Fabric capabilities within the organization
Automation, Orchestration & Dev Ops
Automate workflows using Fabric Data Factory, Azure Dev Ops, and Airflow
Implement CI/CD pipelines for data engineering solutions
Ensure smooth orchestration and operational efficiency of data systems
Innovation & Continuous Improvement
Stay updated with Microsoft Fabric advancements including Real-Time Analytics, Data Activator, and AI integrations
Identify and implement innovative solutions for enterprise data challenges
Contribute to engineering best practices and platform modernization initiatives
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
Search for further Jobs Here:
×