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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining robust data pipelines and solutions using Microsoft Fabric and Power BI, with a strong focus on ETL/ELT processes, data integration, and data quality management. Proficient in SQL and experienced in cloud data ecosystems, ensuring data governance and security while collaborating effectively with cross-functional teams.
Highest-signal resume keywords
Data Pipeline DevelopmentMicrosoft FabricPower BIETL/ELT ProcessesSQL
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 IntegrationData TransformationData ModelingData Quality ChecksCI/CD PipelinesData ObservabilityData GovernanceData SecurityData WarehousingData Lakes
Soft Skills
Collaborative ApproachProblem SolvingForward-Thinking Mindset
Tools & Technologies
Microsoft FabricPower BIGitCloud Data Ecosystems
Industry Keywords
Data SolutionsData InfrastructureModern Data StackData QualityData Access Management
Tech Stack
Tools & technologiesCloudETLSQL
About the role
Key responsibilities & impact- Design and build robust, scalable data pipelines and data solutions
- Develop and maintain data solutions using Microsoft Fabric, Power BI, and other modern data stack elements
- Build and optimize ETL/ELT pipelines, data transformations, and data models
- Implement access controls, CI/CD pipelines, versioning, and data quality checks
- Set up and maintain data observability and monitoring
- Integrate data from internal and external sources while ensuring reliability, performance, and scalability
- Collaborate with analysts, engineers, and business stakeholders to turn data into meaningful insights
- Directly shape the company-wide data platform
Requirements
What you’ll need- Strong experience building and maintaining production-grade data pipelines and data solutions
- Strong knowledge of SQL and experience working with large and complex datasets
- Hands-on experience with ETL/ELT processes, data integration, data transformation, and data modeling
- Experience with Microsoft Fabric, Power BI, and cloud data ecosystems
- Good understanding of data warehouses, data lakes, and lakehouse architectures
- Experience with data infrastructure, DevOps for data, and modern engineering workflows, including CI/CD and Git
- Understanding of data governance, security, access management, and data quality
- Experience with monitoring, troubleshooting, and optimizing data pipelines and workloads
- Passion for solving problems and building clean, efficient, scalable systems
- Collaborative, hands-on approach and forward-thinking mindset
Benefits
Comp & perks- Professional and supportive team
- Leadership development programs
- Internal and external training opportunities
- Modern and ergonomically equipped office
- Recreation areas
- Outdoor terraces
- Gym
- Employee discounts at the restaurant
- Birthday-month day off
- Holiday gifts
- Work anniversary gifts
- Company events
- Employee recognition awards
- Employee-initiated interest clubs