FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in designing and developing enterprise-grade data engineering solutions using Microsoft Fabric and Azure technologies. Proficient in optimizing data pipelines, implementing data models, and ensuring data quality and governance.
Highest-signal resume keywords
Microsoft FabricAzure Data FactoryData Pipeline DevelopmentETL/ELT ProcessesSQL and Database Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringData WarehousingDimensional ModellingPythonPySparkData IngestionData TransformationData QualityData GovernanceBatch and Real-Time Data Processing
Soft Skills
Stakeholder ManagementCommunicationAnalytical SkillsProblem-SolvingMentoring
Tools & Technologies
Microsoft Fabric Data FactoryAzure Data Lake Storage Gen2Azure Synapse AnalyticsAzure SQLAzure DatabricksAzure FunctionsLogic AppsAzure Key VaultGitCI/CD
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in Information Technology
Industry Keywords
Data Engineering SolutionsData ArchitectureData ProcessingData IntegrationData Monitoring
Tech Stack
Tools & technologiesAzureETLPySparkPythonSQLVault
About the role
Key responsibilities & impact- Lead the design and development of enterprise-grade data engineering solutions using Microsoft Fabric and Azure
- Design scalable and reliable data pipelines for batch and real-time data processing
- Develop and optimize ETL/ELT processes using modern Azure and Microsoft Fabric technologies
- Work extensively with Microsoft Fabric Data Factory, Lakehouse, Data Warehouse, OneLake, and related Fabric components
- Design and implement solutions using Azure Data Factory, Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure SQL, and other Azure data services
- Develop data ingestion, transformation, cleansing, and integration processes from multiple source systems
- Implement data models and data warehouse solutions supporting analytics and reporting requirements
- Optimize data pipelines, queries, storage, and processing performance
- Establish data quality, security, governance, and monitoring practices
- Collaborate with Data Architects, Solution Architects, BI Developers, and business stakeholders
- Provide technical leadership and mentoring to data engineering teams
- Participate in solution design, estimation, code reviews, troubleshooting, and production support
Requirements
What you’ll need- 10+ years of relevant Data Engineering / Data Platform development experience
- Microsoft Fabric and Microsoft Azure are mandatory requirements
- Strong hands-on experience with Microsoft Fabric Data Factory
- Hands-on experience with Fabric Lakehouse and Fabric Data Warehouse
- Strong understanding of OneLake
- Experience with data pipelines, notebooks, and Dataflows Gen2
- Experience with Fabric architecture, workspace management, data ingestion, transformation, and optimization
- Strong hands-on experience with Azure Data Factory (ADF)
- Experience with Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure SQL, Azure Databricks, and Azure Storage
- Experience with Azure Functions / Logic Apps, Azure Key Vault, monitoring, and security services
- Strong SQL and database development skills
- Experience with Python and/or PySpark
- Strong understanding of ETL/ELT and data pipeline development
- Experience with data warehousing, dimensional modelling, and Lakehouse architecture
- Knowledge of batch and real-time data processing
- Experience with APIs and structured and unstructured data sources
- Experience with Git, CI/CD, and DevOps practices
- Knowledge of data security, governance, lineage, and data quality
- Experience troubleshooting and optimizing complex data pipelines
- Proven ability to lead technical discussions and data engineering initiatives
- Ability to translate business requirements into scalable technical solutions
- Strong stakeholder management and communication skills
- Experience mentoring data engineers
- Ability to work independently in a remote environment
- Strong analytical and problem-solving capabilities
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field
- Available to join immediately or within 30 days
Benefits
Comp & perks- Remote / Work From Home opportunity
- Opportunity to work on global enterprise data and cloud transformation projects
- Work with modern Microsoft technologies including Microsoft Fabric and Azure
- Exposure to international clients and large-scale data platforms
- Opportunity to work with a highly skilled and collaborative technology team