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Softgic

1873 Sr Data Engineer – IBM DB2

Softgic Alejandro Petión, Buenos Aires, Argentina

IT Services and IT Consulting · 51-200 employees

Oct 19
Remote data-engineer Senior (5-10 yrs) Full-time Argentina
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About the role

Design, develop, and maintain batch and event-driven data pipelines while optimizing IBM DB2 database performance. Collaborate with cross-functional teams to integrate legacy systems with modern cloud platforms and ensure data reliability.

What they look for

IBM DB2 Data Engineering Python Java SQL ETL ELT Data Pipelines AWS Database Performance Tuning Data Modeling Data Quality Legacy Data Integration Stored Procedures Query Optimization Cloud Modernization

Requirements

Requires at least 5 years of professional data engineering experience with mandatory hands-on expertise in IBM DB2. Candidates must possess strong programming skills in Python or Java and advanced knowledge of SQL and ETL/ELT processes.

Full description

We are looking for a Senior Data Engineer with strong expertise in IBM DB2 and legacy data integration to design, develop, and maintain reliable data pipelines connecting enterprise applications, payroll systems, and modern cloud platforms.

The ideal candidate combines deep database knowledge, strong programming skills, and experience modernizing legacy data environments.

? Key Responsibilities

  • 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.

Requisitos

Required Qualifications

  • 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.

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