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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 maintaining data pipelines, optimizing IBM DB2 environments, and implementing ETL/ELT processes. Proficient in data architecture and integration, with strong programming skills in Python and/or Java.
Highest-signal resume keywords
IBM DB2 ExpertiseETL/ELT Process ImplementationPython ProgrammingAdvanced SQL SkillsData Architecture Design
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Design, develop, and maintain batch and event-driven data pipelines
- Optimize IBM DB2 queries, stored procedures, indexes, and data extraction processes
- Build integrations between DB2, enterprise applications, ERP systems, and AWS cloud services
- Implement ETL/ELT processes, data validation, reconciliation, and quality controls
- Monitor production pipelines, troubleshoot incidents, and ensure data reliability
- Design scalable data architectures and support legacy-to-cloud modernization
- Collaborate with engineering, architecture, product, and operations teams
Requirements
What you’ll need- 5+ years of professional Data Engineering experience
- Strong hands-on expertise in IBM DB2 (LUW and/or DB2 for i) — mandatory
- Proven experience extracting and integrating data from legacy DB2 environments
- Strong programming skills in Python and/or Java
- Advanced SQL, stored procedures, query optimization, and database performance tuning
- Experience designing, developing, and supporting production ETL/ELT pipelines
- Knowledge of data architecture, data modeling, data quality, and integration patterns
- Experience with production monitoring, troubleshooting, and root-cause analysis
- Advanced English proficiency (C1) for technical collaboration and architecture discussions
Benefits
Comp & perks- Remote work arrangement
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 DevelopmentQuery OptimizationStored ProceduresData ValidationData ReconciliationDatabase Performance TuningData ModelingIntegration PatternsProduction MonitoringTroubleshooting
Soft Skills
CollaborationTechnical Communication
Tools & Technologies
AWS Cloud ServicesEnterprise ApplicationsERP Systems
Industry Keywords
Data EngineeringData QualityLegacy-to-Cloud Modernization