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Data Engineer
Littelfuse. Extract data from SAP, BW, and Data Hub source systems and ensure required structure and format .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in data engineering and integration, with expertise in ETL/ELT processes, Azure Data Factory, and SQL development. Demonstrates strong analytical skills to troubleshoot data issues and collaborate effectively with stakeholders.
Highest-signal resume keywords
ETL/ELT DevelopmentAzure Data FactorySQL DevelopmentData IntegrationCI/CD Processes
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLETLELTData EngineeringData IntegrationMaster Data ManagementData Quality AnalysisRoot-Cause AnalysisTechnical DocumentationData Dictionary Management
Soft Skills
Analytical SkillsCollaborationProblem-Solving
Tools & Technologies
Azure Data FactoryInformaticaGitAzure DevOpsData Hub
Industry Keywords
Data WarehouseRelational DatabasesCI/CDData PipelinesSource Control
Tech Stack
Tools & technologiesAzureETLInformaticaSQL
About the role
Key responsibilities & impact- Extract data from SAP, BW, and Data Hub source systems and ensure required structure and format
- Develop, maintain, monitor, and test ETL/ELT processes and Azure Data Factory data pipelines
- Implement and test end-to-end Master Data Management processes, including Informatica and Data Hub integrations
- Develop, optimize, and maintain SQL stored procedures in Azure
- Develop and maintain data dictionary elements and database objects, including tables, views, schemas, and metadata
- Troubleshoot and debug ETL, pipeline, SQL, and data-quality issues; perform root-cause analysis and implement fixes
- Create and maintain technical documentation, including data mappings, pipeline designs, support procedures, deployment notes, and operational runbooks
- Participate in peer code reviews and follow coding, naming, security, and documentation standards
- Implement and support CI/CD processes across development, test, and production environments
- Manage and version source code, deployment artifacts, and configuration changes using Git
Requirements
What you’ll need- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline, or equivalent practical experience
- 2+ years of hands-on experience in data engineering, data integration, ETL/ELT development, or a related role
- Strong SQL skills, including development and troubleshooting of stored procedures, views, joins, transformations, and performance-aware queries
- Hands-on experience with Azure Data Factory, including pipeline development, datasets, linked services, parameters, triggers, monitoring, and error handling
- Experience working with relational databases and data warehouse or Data Hub environments
- Working knowledge of Git-based source control and collaborative development practices
- Understanding of CI/CD concepts for data pipelines and database deployments
- Ability to analyze data issues and work effectively with technical and business stakeholders
- Familiarity with Azure DevOps or comparable CI/CD tooling for automated builds, releases, and environment promotion
Benefits
Comp & perks- Competitive compensation
- Performance-based incentives
- Flexible work arrangements
- Employee growth and development opportunities
- Inclusive workplace culture