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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing end-to-end data pipelines using Azure Data Factory, Databricks, and Microsoft Fabric, while ensuring data quality and compliance with security standards. Proficient in advanced SQL, data modeling, and implementing Medallion Architecture for scalable analytics solutions.
Highest-signal resume keywords
Azure Data FactoryDatabricksMicrosoft FabricAdvanced SQLData Engineering
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 Pipeline DevelopmentData IngestionData TransformationData CurationAnalytical ModelingData Quality ChecksData ValidationData CleansingPythonSQL Development
Soft Skills
Analytical ThinkingProblem-SolvingCommunicationTeamworkTime Management
Certifications & Qualifications
Bachelor’s Degree in Computer Science
Industry Keywords
Medallion ArchitectureEnterprise AnalyticsData SecurityPrivacy StandardsRegulatory Compliance
Tech Stack
Tools & technologiesAzureCloudPythonSQL
About the role
Key responsibilities & impact- Design, develop, and maintain end-to-end data pipelines using Azure Data Factory, Databricks, and Microsoft Fabric
- Ingest data from diverse structured and unstructured sources
- Implement and manage Medallion Architecture with Bronze, Silver, and Gold layers
- Develop governed analytical data models for reporting, advanced analytics, and downstream AI initiatives
- Adhere to CSI Analytics engineering standards, coding best practices, and documentation guidelines
- Optimize data pipelines for performance, scalability, and cost efficiency in Azure and Fabric environments
- Implement data quality checks, validation rules, and reconciliation processes
- Ensure data accuracy, completeness, and consistency
- Comply with EY data security, privacy, and regulatory standards, including access controls and audit requirements
- Independently solve complex data challenges and proactively propose scalable, future-ready solutions
- Support enterprise analytics, reporting, and AI-driven use cases
Requirements
What you’ll need- Bachelor’s degree in computer science or a related discipline
- Minimum 2–3 years of experience working in Data Engineering, Data Platform, or Enterprise Analytics roles
- Strong hands-on experience building cloud-scale data solutions on Microsoft Azure
- Strong expertise in Azure Data Factory, Databricks, and Microsoft Fabric
- End-to-end data engineering skills covering ingestion, transformation, curation, and analytical modelling
- Knowledge of Medallion Architecture-based data platforms
- Advanced SQL and data modeling skills; extremely proficient in SQL development
- Proficiency in data cleansing and formatting using SQL, Python, or other analytical tools
- Strong analytical, troubleshooting, and problem-solving skills
- Good communication and stakeholder collaboration skills
- Ability to manage ambiguity, shifting priorities, and complex data landscapes
- Teamwork, integrity, empathy and care, ownership, accountability, analytical thinking, coherent communication, time management, organization, and attention to detail
Benefits
Comp & perks- Competitive salary
- Global scale, support, inclusive culture and technology
- Career development opportunities
- Support from the CSI Data Engineering Lead