1873 Sr Data Engineer – IBM DB2

Softgic S.; Argentina; Presencial; ARS 3 000 000 - 6 000 000; Tempo integral

Resumo da oferta

Softgic S. seeks a Senior Data Engineer with deep IBM DB2 and legacy data integration experience to design, build, and maintain reliable data pipelines connecting enterprise apps, payroll systems, and cloud platforms.

The role emphasizes modernizing legacy data environments, strong programming in Python/Java, SQL proficiency, and collaboration with engineering, architecture, product, and operations teams.

Qualificações

• 5+ years of professional data engineering experience.
• Hands-on IBM DB2 expertise (LUW or i) mandatory.
• Strong Python and/or Java programming skills.
• Advanced SQL, stored procedures, and performance tuning.
• Experience with ETL/ELT pipelines and data quality.

Responsabilidades

• Design, develop, and maintain data pipelines.
• Optimize IBM DB2 queries and procedures.
• Build DB2 integrations with ERP and AWS cloud services.
• Implement ETL/ELT processes and data quality controls.
• Monitor pipelines and troubleshoot incidents.
• Design scalable data architectures for legacy-to-cloud modernization.
• Collaborate with cross-functional teams.

Conhecimentos

Data engineering

IBM DB2

Python

Java

SQL

ETL/ELT

Data modeling

Data quality

Monitoring

English C1

Descrição da oferta de emprego

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.

Requirements

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.